parameters/ 0000755 0001762 0000144 00000000000 14560676175 012436 5 ustar ligges users parameters/NAMESPACE 0000644 0001762 0000144 00000076342 14556174414 013663 0 ustar ligges users # Generated by roxygen2: do not edit by hand
S3method(as.data.frame,VarCorr.lme)
S3method(as.double,n_clusters)
S3method(as.double,n_factors)
S3method(as.numeric,n_clusters)
S3method(as.numeric,n_factors)
S3method(bootstrap_model,default)
S3method(bootstrap_model,glmmTMB)
S3method(bootstrap_model,merMod)
S3method(bootstrap_model,nestedLogit)
S3method(bootstrap_parameters,bootstrap_model)
S3method(bootstrap_parameters,default)
S3method(ci,BBmm)
S3method(ci,BBreg)
S3method(ci,DirichletRegModel)
S3method(ci,HLfit)
S3method(ci,MixMod)
S3method(ci,Sarlm)
S3method(ci,averaging)
S3method(ci,bayesx)
S3method(ci,betamfx)
S3method(ci,betaor)
S3method(ci,betareg)
S3method(ci,bracl)
S3method(ci,brmultinom)
S3method(ci,btergm)
S3method(ci,clm2)
S3method(ci,clmm2)
S3method(ci,coeftest)
S3method(ci,complmrob)
S3method(ci,crq)
S3method(ci,default)
S3method(ci,deltaMethod)
S3method(ci,effectsize_table)
S3method(ci,fixest_multi)
S3method(ci,flac)
S3method(ci,flic)
S3method(ci,gam)
S3method(ci,gamm)
S3method(ci,gamm4)
S3method(ci,geeglm)
S3method(ci,glht)
S3method(ci,glm)
S3method(ci,glmm)
S3method(ci,glmmTMB)
S3method(ci,hglm)
S3method(ci,hurdle)
S3method(ci,ivFixed)
S3method(ci,ivprobit)
S3method(ci,lavaan)
S3method(ci,list)
S3method(ci,lm)
S3method(ci,lm_robust)
S3method(ci,lme)
S3method(ci,lmodel2)
S3method(ci,logistf)
S3method(ci,logitmfx)
S3method(ci,logitor)
S3method(ci,lqm)
S3method(ci,lqmm)
S3method(ci,margins)
S3method(ci,maxLik)
S3method(ci,mediate)
S3method(ci,merMod)
S3method(ci,merModList)
S3method(ci,meta_bma)
S3method(ci,meta_fixed)
S3method(ci,meta_random)
S3method(ci,metaplus)
S3method(ci,mhurdle)
S3method(ci,mipo)
S3method(ci,mira)
S3method(ci,mixor)
S3method(ci,mjoint)
S3method(ci,mle)
S3method(ci,mle2)
S3method(ci,mlm)
S3method(ci,mmrm)
S3method(ci,mmrm_fit)
S3method(ci,mmrm_tmb)
S3method(ci,model_fit)
S3method(ci,multinom)
S3method(ci,negbin)
S3method(ci,negbinirr)
S3method(ci,negbinmfx)
S3method(ci,nestedLogit)
S3method(ci,nlrq)
S3method(ci,parameters_standardized)
S3method(ci,pgmm)
S3method(ci,phyloglm)
S3method(ci,phylolm)
S3method(ci,poissonirr)
S3method(ci,poissonmfx)
S3method(ci,polr)
S3method(ci,probitmfx)
S3method(ci,rma)
S3method(ci,rq)
S3method(ci,rqs)
S3method(ci,rqss)
S3method(ci,scam)
S3method(ci,selection)
S3method(ci,summary.lm)
S3method(ci,svyglm)
S3method(ci,svyolr)
S3method(ci,systemfit)
S3method(ci,varest)
S3method(ci,zerocount)
S3method(ci,zeroinfl)
S3method(cluster_discrimination,cluster_analysis)
S3method(cluster_discrimination,default)
S3method(cluster_performance,dbscan)
S3method(cluster_performance,hclust)
S3method(cluster_performance,kmeans)
S3method(cluster_performance,parameters_clusters)
S3method(convert_efa_to_cfa,fa)
S3method(convert_efa_to_cfa,fa.ci)
S3method(convert_efa_to_cfa,parameters_efa)
S3method(convert_efa_to_cfa,parameters_pca)
S3method(degrees_of_freedom,BBmm)
S3method(degrees_of_freedom,BBreg)
S3method(degrees_of_freedom,betamfx)
S3method(degrees_of_freedom,betaor)
S3method(degrees_of_freedom,bfsl)
S3method(degrees_of_freedom,bigglm)
S3method(degrees_of_freedom,biglm)
S3method(degrees_of_freedom,cgam)
S3method(degrees_of_freedom,cgamm)
S3method(degrees_of_freedom,coeftest)
S3method(degrees_of_freedom,complmrob)
S3method(degrees_of_freedom,default)
S3method(degrees_of_freedom,emmGrid)
S3method(degrees_of_freedom,emm_list)
S3method(degrees_of_freedom,fixest)
S3method(degrees_of_freedom,fixest_multi)
S3method(degrees_of_freedom,garch)
S3method(degrees_of_freedom,glht)
S3method(degrees_of_freedom,gls)
S3method(degrees_of_freedom,hglm)
S3method(degrees_of_freedom,ivFixed)
S3method(degrees_of_freedom,ivprobit)
S3method(degrees_of_freedom,logitmfx)
S3method(degrees_of_freedom,logitor)
S3method(degrees_of_freedom,lqm)
S3method(degrees_of_freedom,lqmm)
S3method(degrees_of_freedom,mediate)
S3method(degrees_of_freedom,merModList)
S3method(degrees_of_freedom,mhurdle)
S3method(degrees_of_freedom,mipo)
S3method(degrees_of_freedom,mira)
S3method(degrees_of_freedom,mmrm)
S3method(degrees_of_freedom,mmrm_fit)
S3method(degrees_of_freedom,mmrm_tmb)
S3method(degrees_of_freedom,model_fit)
S3method(degrees_of_freedom,multinom)
S3method(degrees_of_freedom,negbinirr)
S3method(degrees_of_freedom,negbinmfx)
S3method(degrees_of_freedom,nestedLogit)
S3method(degrees_of_freedom,nlrq)
S3method(degrees_of_freedom,nnet)
S3method(degrees_of_freedom,plm)
S3method(degrees_of_freedom,poissonirr)
S3method(degrees_of_freedom,poissonmfx)
S3method(degrees_of_freedom,probitmfx)
S3method(degrees_of_freedom,rlm)
S3method(degrees_of_freedom,rq)
S3method(degrees_of_freedom,rqs)
S3method(degrees_of_freedom,rqss)
S3method(degrees_of_freedom,selection)
S3method(degrees_of_freedom,summary.lm)
S3method(degrees_of_freedom,systemfit)
S3method(degrees_of_freedom,truncreg)
S3method(degrees_of_freedom,vgam)
S3method(display,compare_parameters)
S3method(display,equivalence_test_lm)
S3method(display,parameters_brms_meta)
S3method(display,parameters_distribution)
S3method(display,parameters_efa)
S3method(display,parameters_efa_summary)
S3method(display,parameters_model)
S3method(display,parameters_pca)
S3method(display,parameters_pca_summary)
S3method(display,parameters_sem)
S3method(display,parameters_simulate)
S3method(dof_satterthwaite,lmerMod)
S3method(equivalence_test,MixMod)
S3method(equivalence_test,feis)
S3method(equivalence_test,felm)
S3method(equivalence_test,gee)
S3method(equivalence_test,ggeffects)
S3method(equivalence_test,glm)
S3method(equivalence_test,glmmTMB)
S3method(equivalence_test,gls)
S3method(equivalence_test,hurdle)
S3method(equivalence_test,lm)
S3method(equivalence_test,lme)
S3method(equivalence_test,merMod)
S3method(equivalence_test,mixed)
S3method(equivalence_test,parameters_simulate_model)
S3method(equivalence_test,rma)
S3method(equivalence_test,wbm)
S3method(equivalence_test,zeroinfl)
S3method(factor_analysis,data.frame)
S3method(format,compare_parameters)
S3method(format,equivalence_test_lm)
S3method(format,p_calibrate)
S3method(format,parameters_brms_meta)
S3method(format,parameters_model)
S3method(format,parameters_p_function)
S3method(format,parameters_sem)
S3method(format,parameters_simulate)
S3method(format,parameters_standardized)
S3method(format_parameters,default)
S3method(format_parameters,emm_list)
S3method(format_parameters,glmm)
S3method(format_parameters,margins)
S3method(format_parameters,mediate)
S3method(format_parameters,merModList)
S3method(format_parameters,meta_bma)
S3method(format_parameters,meta_fixed)
S3method(format_parameters,meta_random)
S3method(format_parameters,mira)
S3method(format_parameters,mle2)
S3method(format_parameters,parameters_model)
S3method(format_parameters,rma)
S3method(model_parameters,AKP)
S3method(model_parameters,Anova.mlm)
S3method(model_parameters,BFBayesFactor)
S3method(model_parameters,BGGM)
S3method(model_parameters,DirichletRegModel)
S3method(model_parameters,FAMD)
S3method(model_parameters,Gam)
S3method(model_parameters,HLfit)
S3method(model_parameters,MCMCglmm)
S3method(model_parameters,Mclust)
S3method(model_parameters,MixMod)
S3method(model_parameters,PCA)
S3method(model_parameters,PMCMR)
S3method(model_parameters,SemiParBIV)
S3method(model_parameters,afex_aov)
S3method(model_parameters,anova)
S3method(model_parameters,anova.rms)
S3method(model_parameters,aov)
S3method(model_parameters,aovlist)
S3method(model_parameters,averaging)
S3method(model_parameters,bamlss)
S3method(model_parameters,bayesQR)
S3method(model_parameters,bcplm)
S3method(model_parameters,befa)
S3method(model_parameters,betamfx)
S3method(model_parameters,betaor)
S3method(model_parameters,betareg)
S3method(model_parameters,bfsl)
S3method(model_parameters,bifeAPEs)
S3method(model_parameters,blavaan)
S3method(model_parameters,blrm)
S3method(model_parameters,bootstrap_model)
S3method(model_parameters,bracl)
S3method(model_parameters,brmsfit)
S3method(model_parameters,brmultinom)
S3method(model_parameters,censReg)
S3method(model_parameters,cgam)
S3method(model_parameters,clm2)
S3method(model_parameters,clmm)
S3method(model_parameters,clmm2)
S3method(model_parameters,coeftest)
S3method(model_parameters,comparisons)
S3method(model_parameters,cpglmm)
S3method(model_parameters,data.frame)
S3method(model_parameters,dbscan)
S3method(model_parameters,default)
S3method(model_parameters,deltaMethod)
S3method(model_parameters,dep.effect)
S3method(model_parameters,draws)
S3method(model_parameters,emmGrid)
S3method(model_parameters,emm_list)
S3method(model_parameters,epi.2by2)
S3method(model_parameters,fa)
S3method(model_parameters,fa.ci)
S3method(model_parameters,feglm)
S3method(model_parameters,fitdistr)
S3method(model_parameters,fixest)
S3method(model_parameters,fixest_multi)
S3method(model_parameters,flac)
S3method(model_parameters,flic)
S3method(model_parameters,gam)
S3method(model_parameters,gamlss)
S3method(model_parameters,gamm)
S3method(model_parameters,ggeffects)
S3method(model_parameters,glht)
S3method(model_parameters,glimML)
S3method(model_parameters,glm)
S3method(model_parameters,glmm)
S3method(model_parameters,glmmTMB)
S3method(model_parameters,glmx)
S3method(model_parameters,hclust)
S3method(model_parameters,hdbscan)
S3method(model_parameters,hglm)
S3method(model_parameters,hkmeans)
S3method(model_parameters,htest)
S3method(model_parameters,hurdle)
S3method(model_parameters,hypotheses)
S3method(model_parameters,ivFixed)
S3method(model_parameters,ivprobit)
S3method(model_parameters,kmeans)
S3method(model_parameters,lavaan)
S3method(model_parameters,list)
S3method(model_parameters,lm_robust)
S3method(model_parameters,lme)
S3method(model_parameters,lmodel2)
S3method(model_parameters,logistf)
S3method(model_parameters,logitmfx)
S3method(model_parameters,logitor)
S3method(model_parameters,lqm)
S3method(model_parameters,lqmm)
S3method(model_parameters,maov)
S3method(model_parameters,marginaleffects)
S3method(model_parameters,marginalmeans)
S3method(model_parameters,margins)
S3method(model_parameters,maxLik)
S3method(model_parameters,maxim)
S3method(model_parameters,mblogit)
S3method(model_parameters,mcmc)
S3method(model_parameters,mcmc.list)
S3method(model_parameters,mcp1)
S3method(model_parameters,mcp2)
S3method(model_parameters,med1way)
S3method(model_parameters,mediate)
S3method(model_parameters,merMod)
S3method(model_parameters,merModList)
S3method(model_parameters,meta_bma)
S3method(model_parameters,meta_fixed)
S3method(model_parameters,meta_random)
S3method(model_parameters,metaplus)
S3method(model_parameters,mhurdle)
S3method(model_parameters,mipo)
S3method(model_parameters,mira)
S3method(model_parameters,mixed)
S3method(model_parameters,mixor)
S3method(model_parameters,mjoint)
S3method(model_parameters,mle)
S3method(model_parameters,mle2)
S3method(model_parameters,mlm)
S3method(model_parameters,mmrm)
S3method(model_parameters,mmrm_fit)
S3method(model_parameters,mmrm_tmb)
S3method(model_parameters,model_fit)
S3method(model_parameters,multinom)
S3method(model_parameters,mvord)
S3method(model_parameters,negbin)
S3method(model_parameters,negbinirr)
S3method(model_parameters,negbinmfx)
S3method(model_parameters,nestedLogit)
S3method(model_parameters,omega)
S3method(model_parameters,onesampb)
S3method(model_parameters,osrt)
S3method(model_parameters,pairwise.htest)
S3method(model_parameters,pam)
S3method(model_parameters,parameters_efa)
S3method(model_parameters,parameters_pca)
S3method(model_parameters,pgmm)
S3method(model_parameters,poissonirr)
S3method(model_parameters,poissonmfx)
S3method(model_parameters,polr)
S3method(model_parameters,predictions)
S3method(model_parameters,principal)
S3method(model_parameters,probitmfx)
S3method(model_parameters,pvclust)
S3method(model_parameters,ridgelm)
S3method(model_parameters,rlmerMod)
S3method(model_parameters,rma)
S3method(model_parameters,robtab)
S3method(model_parameters,rqs)
S3method(model_parameters,rqss)
S3method(model_parameters,scam)
S3method(model_parameters,selection)
S3method(model_parameters,sem)
S3method(model_parameters,slopes)
S3method(model_parameters,stanfit)
S3method(model_parameters,stanmvreg)
S3method(model_parameters,stanreg)
S3method(model_parameters,summary_emm)
S3method(model_parameters,svyglm)
S3method(model_parameters,svytable)
S3method(model_parameters,systemfit)
S3method(model_parameters,t1way)
S3method(model_parameters,trendPMCMR)
S3method(model_parameters,trimcibt)
S3method(model_parameters,varest)
S3method(model_parameters,vgam)
S3method(model_parameters,wbgee)
S3method(model_parameters,wbm)
S3method(model_parameters,wmcpAKP)
S3method(model_parameters,yuen)
S3method(model_parameters,zcpglm)
S3method(model_parameters,zerocount)
S3method(model_parameters,zeroinfl)
S3method(model_parameters,zoo)
S3method(p_calibrate,default)
S3method(p_calibrate,numeric)
S3method(p_value,BBmm)
S3method(p_value,BBreg)
S3method(p_value,BFBayesFactor)
S3method(p_value,BGGM)
S3method(p_value,DirichletRegModel)
S3method(p_value,Gam)
S3method(p_value,HLfit)
S3method(p_value,LORgee)
S3method(p_value,MCMCglmm)
S3method(p_value,Sarlm)
S3method(p_value,SemiParBIV)
S3method(p_value,aareg)
S3method(p_value,anova)
S3method(p_value,aov)
S3method(p_value,aovlist)
S3method(p_value,averaging)
S3method(p_value,bamlss)
S3method(p_value,bayesQR)
S3method(p_value,bayesx)
S3method(p_value,bcplm)
S3method(p_value,betamfx)
S3method(p_value,betaor)
S3method(p_value,betareg)
S3method(p_value,bife)
S3method(p_value,blavaan)
S3method(p_value,blrm)
S3method(p_value,bracl)
S3method(p_value,brmsfit)
S3method(p_value,brmultinom)
S3method(p_value,btergm)
S3method(p_value,censReg)
S3method(p_value,cgam)
S3method(p_value,clm2)
S3method(p_value,clmm2)
S3method(p_value,coeftest)
S3method(p_value,complmrob)
S3method(p_value,coxme)
S3method(p_value,coxph)
S3method(p_value,coxr)
S3method(p_value,cpglm)
S3method(p_value,cpglmm)
S3method(p_value,crch)
S3method(p_value,crq)
S3method(p_value,data.frame)
S3method(p_value,default)
S3method(p_value,deltaMethod)
S3method(p_value,draws)
S3method(p_value,eglm)
S3method(p_value,emmGrid)
S3method(p_value,emm_list)
S3method(p_value,feglm)
S3method(p_value,fixest_multi)
S3method(p_value,flac)
S3method(p_value,flexsurvreg)
S3method(p_value,flic)
S3method(p_value,gam)
S3method(p_value,gamlss)
S3method(p_value,gamm)
S3method(p_value,gamm4)
S3method(p_value,gee)
S3method(p_value,geeglm)
S3method(p_value,glht)
S3method(p_value,glimML)
S3method(p_value,glmm)
S3method(p_value,glmx)
S3method(p_value,gls)
S3method(p_value,gmnl)
S3method(p_value,hglm)
S3method(p_value,htest)
S3method(p_value,hurdle)
S3method(p_value,ivFixed)
S3method(p_value,ivprobit)
S3method(p_value,ivreg)
S3method(p_value,lavaan)
S3method(p_value,list)
S3method(p_value,lm)
S3method(p_value,lm_robust)
S3method(p_value,lme)
S3method(p_value,lmodel2)
S3method(p_value,logistf)
S3method(p_value,logitmfx)
S3method(p_value,logitor)
S3method(p_value,lqm)
S3method(p_value,lqmm)
S3method(p_value,lrm)
S3method(p_value,margins)
S3method(p_value,maxLik)
S3method(p_value,mblogit)
S3method(p_value,mediate)
S3method(p_value,merMod)
S3method(p_value,metaplus)
S3method(p_value,mhurdle)
S3method(p_value,mipo)
S3method(p_value,mira)
S3method(p_value,mixor)
S3method(p_value,mjoint)
S3method(p_value,mle2)
S3method(p_value,mlm)
S3method(p_value,mmrm)
S3method(p_value,mmrm_fit)
S3method(p_value,mmrm_tmb)
S3method(p_value,model_fit)
S3method(p_value,multinom)
S3method(p_value,mvord)
S3method(p_value,negbin)
S3method(p_value,negbinirr)
S3method(p_value,negbinmfx)
S3method(p_value,nestedLogit)
S3method(p_value,nlrq)
S3method(p_value,numeric)
S3method(p_value,ols)
S3method(p_value,pggls)
S3method(p_value,pglm)
S3method(p_value,plm)
S3method(p_value,poissonirr)
S3method(p_value,poissonmfx)
S3method(p_value,polr)
S3method(p_value,probitmfx)
S3method(p_value,psm)
S3method(p_value,riskRegression)
S3method(p_value,rlm)
S3method(p_value,rlmerMod)
S3method(p_value,rma)
S3method(p_value,rms)
S3method(p_value,robmixglm)
S3method(p_value,rq)
S3method(p_value,rqs)
S3method(p_value,rqss)
S3method(p_value,scam)
S3method(p_value,selection)
S3method(p_value,sem)
S3method(p_value,speedlm)
S3method(p_value,stanreg)
S3method(p_value,summary.lm)
S3method(p_value,survreg)
S3method(p_value,svyglm)
S3method(p_value,svyglm.nb)
S3method(p_value,svyglm.zip)
S3method(p_value,svyolr)
S3method(p_value,systemfit)
S3method(p_value,tobit)
S3method(p_value,truncreg)
S3method(p_value,varest)
S3method(p_value,vgam)
S3method(p_value,vglm)
S3method(p_value,wbgee)
S3method(p_value,wbm)
S3method(p_value,zcpglm)
S3method(p_value,zerocount)
S3method(p_value,zeroinfl)
S3method(p_value_kenward,lmerMod)
S3method(plot,cluster_analysis)
S3method(plot,cluster_analysis_summary)
S3method(plot,compare_parameters)
S3method(plot,equivalence_test_lm)
S3method(plot,n_clusters)
S3method(plot,n_clusters_dbscan)
S3method(plot,n_clusters_elbow)
S3method(plot,n_clusters_gap)
S3method(plot,n_clusters_hclust)
S3method(plot,n_clusters_silhouette)
S3method(plot,n_factors)
S3method(plot,parameters_brms_meta)
S3method(plot,parameters_distribution)
S3method(plot,parameters_efa)
S3method(plot,parameters_model)
S3method(plot,parameters_p_function)
S3method(plot,parameters_pca)
S3method(plot,parameters_sem)
S3method(plot,parameters_simulate)
S3method(predict,cluster_analysis)
S3method(predict,cluster_meta)
S3method(predict,kmeans)
S3method(predict,parameters_clusters)
S3method(predict,parameters_efa)
S3method(predict,parameters_pca)
S3method(predict,parameters_sem)
S3method(principal_components,data.frame)
S3method(principal_components,lm)
S3method(principal_components,merMod)
S3method(print,cfa_model)
S3method(print,cluster_analysis)
S3method(print,cluster_discrimination)
S3method(print,compare_parameters)
S3method(print,equivalence_test_lm)
S3method(print,n_clusters)
S3method(print,n_clusters_dbscan)
S3method(print,n_clusters_elbow)
S3method(print,n_clusters_gap)
S3method(print,n_clusters_hclust)
S3method(print,n_clusters_silhouette)
S3method(print,n_factors)
S3method(print,p_calibrate)
S3method(print,parameters_brms_meta)
S3method(print,parameters_clusters)
S3method(print,parameters_da)
S3method(print,parameters_efa)
S3method(print,parameters_efa_summary)
S3method(print,parameters_loadings)
S3method(print,parameters_model)
S3method(print,parameters_omega)
S3method(print,parameters_omega_summary)
S3method(print,parameters_p_function)
S3method(print,parameters_pca)
S3method(print,parameters_pca_summary)
S3method(print,parameters_random)
S3method(print,parameters_sem)
S3method(print,parameters_simulate)
S3method(print,parameters_standardized)
S3method(print_html,compare_parameters)
S3method(print_html,parameters_brms_meta)
S3method(print_html,parameters_model)
S3method(print_html,parameters_p_function)
S3method(print_html,parameters_sem)
S3method(print_html,parameters_simulate)
S3method(print_html,parameters_standardized)
S3method(print_md,compare_parameters)
S3method(print_md,equivalence_test_lm)
S3method(print_md,parameters_brms_meta)
S3method(print_md,parameters_distribution)
S3method(print_md,parameters_efa)
S3method(print_md,parameters_efa_summary)
S3method(print_md,parameters_model)
S3method(print_md,parameters_p_function)
S3method(print_md,parameters_pca)
S3method(print_md,parameters_pca_summary)
S3method(print_md,parameters_sem)
S3method(print_md,parameters_simulate)
S3method(print_md,parameters_standardized)
S3method(reduce_parameters,data.frame)
S3method(reduce_parameters,lm)
S3method(reduce_parameters,merMod)
S3method(reshape_loadings,data.frame)
S3method(reshape_loadings,parameters_efa)
S3method(se_satterthwaite,default)
S3method(select_parameters,lm)
S3method(select_parameters,merMod)
S3method(simulate_model,LORgee)
S3method(simulate_model,MixMod)
S3method(simulate_model,betamfx)
S3method(simulate_model,betaor)
S3method(simulate_model,betareg)
S3method(simulate_model,biglm)
S3method(simulate_model,bracl)
S3method(simulate_model,brmultinom)
S3method(simulate_model,censReg)
S3method(simulate_model,cglm)
S3method(simulate_model,clm)
S3method(simulate_model,clm2)
S3method(simulate_model,clmm2)
S3method(simulate_model,coxme)
S3method(simulate_model,coxph)
S3method(simulate_model,cpglm)
S3method(simulate_model,cpglmm)
S3method(simulate_model,crch)
S3method(simulate_model,crq)
S3method(simulate_model,default)
S3method(simulate_model,feglm)
S3method(simulate_model,feis)
S3method(simulate_model,fixest)
S3method(simulate_model,fixest_multi)
S3method(simulate_model,flac)
S3method(simulate_model,flexsurvreg)
S3method(simulate_model,flic)
S3method(simulate_model,gam)
S3method(simulate_model,gamlss)
S3method(simulate_model,gamm)
S3method(simulate_model,gee)
S3method(simulate_model,geeglm)
S3method(simulate_model,glimML)
S3method(simulate_model,glm)
S3method(simulate_model,glmRob)
S3method(simulate_model,glmmTMB)
S3method(simulate_model,glmmadmb)
S3method(simulate_model,glmrob)
S3method(simulate_model,glmx)
S3method(simulate_model,gls)
S3method(simulate_model,hurdle)
S3method(simulate_model,iv_robust)
S3method(simulate_model,ivreg)
S3method(simulate_model,list)
S3method(simulate_model,lm)
S3method(simulate_model,lmRob)
S3method(simulate_model,lm_robust)
S3method(simulate_model,lme)
S3method(simulate_model,lmrob)
S3method(simulate_model,logistf)
S3method(simulate_model,lrm)
S3method(simulate_model,merMod)
S3method(simulate_model,mhurdle)
S3method(simulate_model,mixor)
S3method(simulate_model,mlm)
S3method(simulate_model,model_fit)
S3method(simulate_model,multinom)
S3method(simulate_model,mvord)
S3method(simulate_model,nestedLogit)
S3method(simulate_model,nlrq)
S3method(simulate_model,ols)
S3method(simulate_model,plm)
S3method(simulate_model,polr)
S3method(simulate_model,psm)
S3method(simulate_model,rms)
S3method(simulate_model,rq)
S3method(simulate_model,selection)
S3method(simulate_model,speedglm)
S3method(simulate_model,speedlm)
S3method(simulate_model,survreg)
S3method(simulate_model,svyglm.nb)
S3method(simulate_model,svyglm.zip)
S3method(simulate_model,tobit)
S3method(simulate_model,truncreg)
S3method(simulate_model,varest)
S3method(simulate_model,vgam)
S3method(simulate_model,vglm)
S3method(simulate_model,zerocount)
S3method(simulate_model,zeroinfl)
S3method(simulate_parameters,default)
S3method(simulate_parameters,glmmTMB)
S3method(simulate_parameters,hurdle)
S3method(simulate_parameters,mlm)
S3method(simulate_parameters,multinom)
S3method(simulate_parameters,nestedLogit)
S3method(simulate_parameters,varest)
S3method(simulate_parameters,zerocount)
S3method(simulate_parameters,zeroinfl)
S3method(sort,parameters_efa)
S3method(sort,parameters_pca)
S3method(sort_parameters,data.frame)
S3method(sort_parameters,default)
S3method(standard_error,BBmm)
S3method(standard_error,BBreg)
S3method(standard_error,DirichletRegModel)
S3method(standard_error,HLfit)
S3method(standard_error,LORgee)
S3method(standard_error,MCMCglmm)
S3method(standard_error,MixMod)
S3method(standard_error,Sarlm)
S3method(standard_error,SemiParBIV)
S3method(standard_error,aareg)
S3method(standard_error,anova)
S3method(standard_error,aov)
S3method(standard_error,aovlist)
S3method(standard_error,averaging)
S3method(standard_error,bamlss)
S3method(standard_error,bayesx)
S3method(standard_error,betamfx)
S3method(standard_error,betaor)
S3method(standard_error,betareg)
S3method(standard_error,bfsl)
S3method(standard_error,bife)
S3method(standard_error,biglm)
S3method(standard_error,blavaan)
S3method(standard_error,bracl)
S3method(standard_error,brmsfit)
S3method(standard_error,brmultinom)
S3method(standard_error,btergm)
S3method(standard_error,censReg)
S3method(standard_error,cgam)
S3method(standard_error,character)
S3method(standard_error,clm2)
S3method(standard_error,clmm2)
S3method(standard_error,coeftest)
S3method(standard_error,complmrob)
S3method(standard_error,coxme)
S3method(standard_error,coxph)
S3method(standard_error,coxr)
S3method(standard_error,cpglm)
S3method(standard_error,cpglmm)
S3method(standard_error,crch)
S3method(standard_error,crq)
S3method(standard_error,data.frame)
S3method(standard_error,default)
S3method(standard_error,deltaMethod)
S3method(standard_error,draws)
S3method(standard_error,effectsize_table)
S3method(standard_error,emmGrid)
S3method(standard_error,emm_list)
S3method(standard_error,factor)
S3method(standard_error,feglm)
S3method(standard_error,fitdistr)
S3method(standard_error,fixest)
S3method(standard_error,fixest_multi)
S3method(standard_error,flac)
S3method(standard_error,flexsurvreg)
S3method(standard_error,flic)
S3method(standard_error,gam)
S3method(standard_error,gamlss)
S3method(standard_error,gamm)
S3method(standard_error,gamm4)
S3method(standard_error,gee)
S3method(standard_error,geeglm)
S3method(standard_error,glht)
S3method(standard_error,glimML)
S3method(standard_error,glmm)
S3method(standard_error,glmmTMB)
S3method(standard_error,glmx)
S3method(standard_error,gls)
S3method(standard_error,gmnl)
S3method(standard_error,hglm)
S3method(standard_error,htest)
S3method(standard_error,hurdle)
S3method(standard_error,ivFixed)
S3method(standard_error,ivprobit)
S3method(standard_error,ivreg)
S3method(standard_error,lavaan)
S3method(standard_error,list)
S3method(standard_error,lm_robust)
S3method(standard_error,lme)
S3method(standard_error,lmodel2)
S3method(standard_error,logistf)
S3method(standard_error,logitmfx)
S3method(standard_error,logitor)
S3method(standard_error,lqm)
S3method(standard_error,lqmm)
S3method(standard_error,lrm)
S3method(standard_error,margins)
S3method(standard_error,maxLik)
S3method(standard_error,mblogit)
S3method(standard_error,mediate)
S3method(standard_error,merMod)
S3method(standard_error,merModList)
S3method(standard_error,meta_bma)
S3method(standard_error,meta_fixed)
S3method(standard_error,meta_random)
S3method(standard_error,metaplus)
S3method(standard_error,mhurdle)
S3method(standard_error,mipo)
S3method(standard_error,mira)
S3method(standard_error,mixor)
S3method(standard_error,mjoint)
S3method(standard_error,mle)
S3method(standard_error,mle2)
S3method(standard_error,mlm)
S3method(standard_error,mmrm)
S3method(standard_error,mmrm_fit)
S3method(standard_error,mmrm_tmb)
S3method(standard_error,model_fit)
S3method(standard_error,multinom)
S3method(standard_error,mvord)
S3method(standard_error,mvstanreg)
S3method(standard_error,negbin)
S3method(standard_error,negbinirr)
S3method(standard_error,negbinmfx)
S3method(standard_error,nestedLogit)
S3method(standard_error,nlrq)
S3method(standard_error,numeric)
S3method(standard_error,ols)
S3method(standard_error,parameters_kurtosis)
S3method(standard_error,parameters_skewness)
S3method(standard_error,parameters_standardized)
S3method(standard_error,pgmm)
S3method(standard_error,plm)
S3method(standard_error,poissonirr)
S3method(standard_error,poissonmfx)
S3method(standard_error,polr)
S3method(standard_error,probitmfx)
S3method(standard_error,psm)
S3method(standard_error,riskRegression)
S3method(standard_error,rma)
S3method(standard_error,rms)
S3method(standard_error,robmixglm)
S3method(standard_error,rq)
S3method(standard_error,rqs)
S3method(standard_error,rqss)
S3method(standard_error,scam)
S3method(standard_error,selection)
S3method(standard_error,sem)
S3method(standard_error,stanreg)
S3method(standard_error,summary.lm)
S3method(standard_error,survreg)
S3method(standard_error,svyglm)
S3method(standard_error,svyglm.nb)
S3method(standard_error,svyglm.zip)
S3method(standard_error,svyolr)
S3method(standard_error,systemfit)
S3method(standard_error,table)
S3method(standard_error,tobit)
S3method(standard_error,truncreg)
S3method(standard_error,varest)
S3method(standard_error,vgam)
S3method(standard_error,vglm)
S3method(standard_error,wbgee)
S3method(standard_error,wbm)
S3method(standard_error,xtabs)
S3method(standard_error,zcpglm)
S3method(standard_error,zerocount)
S3method(standard_error,zeroinfl)
S3method(standardize_info,default)
S3method(standardize_parameters,bootstrap_model)
S3method(standardize_parameters,bootstrap_parameters)
S3method(standardize_parameters,default)
S3method(standardize_parameters,mediate)
S3method(standardize_parameters,model_fit)
S3method(standardize_parameters,parameters_model)
S3method(summary,cluster_analysis)
S3method(summary,n_clusters)
S3method(summary,n_factors)
S3method(summary,parameters_efa)
S3method(summary,parameters_model)
S3method(summary,parameters_omega)
S3method(summary,parameters_pca)
S3method(visualisation_recipe,cluster_analysis)
S3method(visualisation_recipe,cluster_analysis_summary)
S3method(visualisation_recipe,n_clusters_dbscan)
S3method(visualisation_recipe,n_clusters_elbow)
S3method(visualisation_recipe,n_clusters_gap)
S3method(visualisation_recipe,n_clusters_silhouette)
export(bootstrap_model)
export(bootstrap_parameters)
export(ci)
export(ci_betwithin)
export(ci_kenward)
export(ci_ml1)
export(ci_satterthwaite)
export(closest_component)
export(cluster_analysis)
export(cluster_centers)
export(cluster_discrimination)
export(cluster_meta)
export(cluster_performance)
export(compare_models)
export(compare_parameters)
export(confidence_curve)
export(consonance_function)
export(convert_efa_to_cfa)
export(degrees_of_freedom)
export(demean)
export(describe_distribution)
export(display)
export(dof)
export(dof_betwithin)
export(dof_kenward)
export(dof_ml1)
export(dof_satterthwaite)
export(dominance_analysis)
export(efa_to_cfa)
export(equivalence_test)
export(factor_analysis)
export(format_df_adjust)
export(format_order)
export(format_p_adjust)
export(format_parameters)
export(get_scores)
export(kurtosis)
export(model_parameters)
export(n_clusters)
export(n_clusters_dbscan)
export(n_clusters_elbow)
export(n_clusters_gap)
export(n_clusters_hclust)
export(n_clusters_silhouette)
export(n_components)
export(n_factors)
export(n_parameters)
export(p_calibrate)
export(p_function)
export(p_value)
export(p_value_betwithin)
export(p_value_kenward)
export(p_value_ml1)
export(p_value_satterthwaite)
export(parameters)
export(parameters_type)
export(pool_parameters)
export(principal_components)
export(print_html)
export(print_md)
export(print_table)
export(random_parameters)
export(reduce_data)
export(reduce_parameters)
export(rescale_weights)
export(reshape_loadings)
export(rotated_data)
export(se_kenward)
export(se_satterthwaite)
export(select_parameters)
export(simulate_model)
export(simulate_parameters)
export(skewness)
export(sort_parameters)
export(standard_error)
export(standardise_info)
export(standardise_parameters)
export(standardise_posteriors)
export(standardize_info)
export(standardize_names)
export(standardize_parameters)
export(standardize_posteriors)
export(supported_models)
export(visualisation_recipe)
importFrom(bayestestR,ci)
importFrom(bayestestR,equivalence_test)
importFrom(datawizard,demean)
importFrom(datawizard,describe_distribution)
importFrom(datawizard,kurtosis)
importFrom(datawizard,rescale_weights)
importFrom(datawizard,skewness)
importFrom(datawizard,visualisation_recipe)
importFrom(graphics,plot)
importFrom(insight,display)
importFrom(insight,n_parameters)
importFrom(insight,print_html)
importFrom(insight,print_md)
importFrom(insight,standardize_names)
importFrom(insight,supported_models)
parameters/README.md 0000644 0001762 0000144 00000032265 14542333532 013710 0 ustar ligges users
# parameters
[](https://doi.org/10.21105/joss.02445)
[](https://cran.r-project.org/package=parameters)
[](https://cranlogs.r-pkg.org/)
[](https://CRAN.R-project.org/package=parameters)
***Describe and understand your model’s parameters!***
**parameters**’ primary goal is to provide utilities for processing the
parameters of various statistical models (see
[here](https://easystats.github.io/insight/) for a list of supported
models). Beyond computing *p-values*, *CIs*, *Bayesian indices* and
other measures for a wide variety of models, this package implements
features like *bootstrapping* of parameters and models, *feature
reduction* (feature extraction and variable selection), or tools for
data reduction like functions to perform cluster, factor or principal
component analysis.
Another important goal of the **parameters** package is to facilitate
and streamline the process of reporting results of statistical models,
which includes the easy and intuitive calculation of standardized
estimates or robust standard errors and p-values. **parameters**
therefor offers a simple and unified syntax to process a large variety
of (model) objects from many different packages.
## Installation
[](https://cran.r-project.org/package=parameters)
[](https://easystats.r-universe.dev)
[](https://github.com/easystats/parameters/actions)
| Type | Source | Command |
|-------------|--------------|------------------------------------------------------------------------------|
| Release | CRAN | `install.packages("parameters")` |
| Development | r - universe | `install.packages("parameters", repos = "https://easystats.r-universe.dev")` |
| Development | GitHub | `remotes::install_github("easystats/parameters")` |
> **Tip**
>
> Instead of `library(parameters)`, use `library(easystats)`. This will
> make all features of the easystats-ecosystem available.
>
> To stay updated, use `easystats::install_latest()`.
## Documentation
[](https://easystats.github.io/parameters/)
[](https://easystats.github.io/blog/posts/)
[](https://easystats.github.io/parameters/reference/index.html)
Click on the buttons above to access the package
[documentation](https://easystats.github.io/parameters/) and the
[easystats blog](https://easystats.github.io/blog/posts/), and check-out
these vignettes:
- [Summary of Model
Parameters](https://easystats.github.io/parameters/articles/model_parameters.html)
- [Parameter and Model
Standardization](https://easystats.github.io/parameters/articles/standardize_parameters_effsize.html)
- [Robust Estimation of Standard Errors, Confidence Intervals and
p-values](https://easystats.github.io/parameters/articles/model_parameters_robust.html)
- [Model Parameters and Missing
Data](https://easystats.github.io/parameters/articles/model_parameters_mice.html)
- [Feature reduction (PCA, cMDS,
ICA…)](https://easystats.github.io/parameters/articles/parameters_reduction.html)
- [Structural models (EFA, CFA,
SEM…)](https://easystats.github.io/parameters/articles/efa_cfa.html)
- [Parameters
selection](https://easystats.github.io/parameters/articles/parameters_selection.html)
- [A Practical Guide for Panel Data
Analysis](https://easystats.github.io/parameters/articles/demean.html)
- [Plotting
functions](https://easystats.github.io/see/articles/parameters.html)
## Contributing and Support
In case you want to file an issue or contribute in another way to the
package, please follow [this
guide](https://github.com/easystats/parameters/blob/main/.github/CONTRIBUTING.md).
For questions about the functionality, you may either contact us via
email or also file an issue.
# Features
## Model’s parameters description
The
[`model_parameters()`](https://easystats.github.io/parameters/articles/model_parameters.html)
function (that can be accessed via the `parameters()` shortcut) allows
you to extract the parameters and their characteristics from various
models in a consistent way. It can be considered as a lightweight
alternative to [`broom::tidy()`](https://github.com/tidymodels/broom),
with some notable differences:
- The column names of the returned data frame are *specific* to their
content. For instance, the column containing the statistic is named
following the statistic name, i.e., *t*, *z*, etc., instead of a
generic name such as *statistic* (however, you can get standardized
(generic) column names using
[`standardize_names()`](https://easystats.github.io/insight/reference/standardize_names.html)).
- It is able to compute or extract indices not available by default,
such as *p-values*, *CIs*, etc.
- It includes *feature engineering* capabilities, including parameters
[bootstrapping](https://easystats.github.io/parameters/reference/bootstrap_parameters.html).
### Classical Regression Models
``` r
model <- lm(Sepal.Width ~ Petal.Length * Species + Petal.Width, data = iris)
# regular model parameters
model_parameters(model)
#> Parameter | Coefficient | SE | 95% CI | t(143) | p
#> -------------------------------------------------------------------------------------------
#> (Intercept) | 2.89 | 0.36 | [ 2.18, 3.60] | 8.01 | < .001
#> Petal Length | 0.26 | 0.25 | [-0.22, 0.75] | 1.07 | 0.287
#> Species [versicolor] | -1.66 | 0.53 | [-2.71, -0.62] | -3.14 | 0.002
#> Species [virginica] | -1.92 | 0.59 | [-3.08, -0.76] | -3.28 | 0.001
#> Petal Width | 0.62 | 0.14 | [ 0.34, 0.89] | 4.41 | < .001
#> Petal Length × Species [versicolor] | -0.09 | 0.26 | [-0.61, 0.42] | -0.36 | 0.721
#> Petal Length × Species [virginica] | -0.13 | 0.26 | [-0.64, 0.38] | -0.50 | 0.618
# standardized parameters
model_parameters(model, standardize = "refit")
#> Parameter | Coefficient | SE | 95% CI | t(143) | p
#> -------------------------------------------------------------------------------------------
#> (Intercept) | 3.59 | 1.30 | [ 1.01, 6.17] | 2.75 | 0.007
#> Petal Length | 1.07 | 1.00 | [-0.91, 3.04] | 1.07 | 0.287
#> Species [versicolor] | -4.62 | 1.31 | [-7.21, -2.03] | -3.53 | < .001
#> Species [virginica] | -5.51 | 1.38 | [-8.23, -2.79] | -4.00 | < .001
#> Petal Width | 1.08 | 0.24 | [ 0.59, 1.56] | 4.41 | < .001
#> Petal Length × Species [versicolor] | -0.38 | 1.06 | [-2.48, 1.72] | -0.36 | 0.721
#> Petal Length × Species [virginica] | -0.52 | 1.04 | [-2.58, 1.54] | -0.50 | 0.618
# heteroscedasticity-consitent SE and CI
model_parameters(model, vcov = "HC3")
#> Parameter | Coefficient | SE | 95% CI | t(143) | p
#> -------------------------------------------------------------------------------------------
#> (Intercept) | 2.89 | 0.43 | [ 2.03, 3.75] | 6.66 | < .001
#> Petal Length | 0.26 | 0.29 | [-0.30, 0.83] | 0.92 | 0.357
#> Species [versicolor] | -1.66 | 0.53 | [-2.70, -0.62] | -3.16 | 0.002
#> Species [virginica] | -1.92 | 0.77 | [-3.43, -0.41] | -2.51 | 0.013
#> Petal Width | 0.62 | 0.12 | [ 0.38, 0.85] | 5.23 | < .001
#> Petal Length × Species [versicolor] | -0.09 | 0.29 | [-0.67, 0.48] | -0.32 | 0.748
#> Petal Length × Species [virginica] | -0.13 | 0.31 | [-0.73, 0.48] | -0.42 | 0.675
```
### Mixed Models
``` r
library(lme4)
model <- lmer(Sepal.Width ~ Petal.Length + (1 | Species), data = iris)
# model parameters with CI, df and p-values based on Wald approximation
model_parameters(model)
#> # Fixed Effects
#>
#> Parameter | Coefficient | SE | 95% CI | t(146) | p
#> ------------------------------------------------------------------
#> (Intercept) | 2.00 | 0.56 | [0.89, 3.11] | 3.56 | < .001
#> Petal Length | 0.28 | 0.06 | [0.16, 0.40] | 4.75 | < .001
#>
#> # Random Effects
#>
#> Parameter | Coefficient | SE | 95% CI
#> -----------------------------------------------------------
#> SD (Intercept: Species) | 0.89 | 0.46 | [0.33, 2.43]
#> SD (Residual) | 0.32 | 0.02 | [0.28, 0.35]
# model parameters with CI, df and p-values based on Kenward-Roger approximation
model_parameters(model, ci_method = "kenward", effects = "fixed")
#> # Fixed Effects
#>
#> Parameter | Coefficient | SE | 95% CI | t | df | p
#> -------------------------------------------------------------------------
#> (Intercept) | 2.00 | 0.57 | [0.07, 3.93] | 3.53 | 2.67 | 0.046
#> Petal Length | 0.28 | 0.06 | [0.16, 0.40] | 4.58 | 140.98 | < .001
```
### Structural Models
Besides many types of regression models and packages, it also works for
other types of models, such as [**structural
models**](https://easystats.github.io/parameters/articles/efa_cfa.html)
(EFA, CFA, SEM…).
``` r
library(psych)
model <- psych::fa(attitude, nfactors = 3)
model_parameters(model)
#> # Rotated loadings from Factor Analysis (oblimin-rotation)
#>
#> Variable | MR1 | MR2 | MR3 | Complexity | Uniqueness
#> ------------------------------------------------------------
#> rating | 0.90 | -0.07 | -0.05 | 1.02 | 0.23
#> complaints | 0.97 | -0.06 | 0.04 | 1.01 | 0.10
#> privileges | 0.44 | 0.25 | -0.05 | 1.64 | 0.65
#> learning | 0.47 | 0.54 | -0.28 | 2.51 | 0.24
#> raises | 0.55 | 0.43 | 0.25 | 2.35 | 0.23
#> critical | 0.16 | 0.17 | 0.48 | 1.46 | 0.67
#> advance | -0.11 | 0.91 | 0.07 | 1.04 | 0.22
#>
#> The 3 latent factors (oblimin rotation) accounted for 66.60% of the total variance of the original data (MR1 = 38.19%, MR2 = 22.69%, MR3 = 5.72%).
```
## Variable and parameters selection
[`select_parameters()`](https://easystats.github.io/parameters/articles/parameters_selection.html)
can help you quickly select and retain the most relevant predictors
using methods tailored for the model type.
``` r
lm(disp ~ ., data = mtcars) |>
select_parameters() |>
model_parameters()
#> Parameter | Coefficient | SE | 95% CI | t(26) | p
#> -----------------------------------------------------------------------
#> (Intercept) | 141.70 | 125.67 | [-116.62, 400.02] | 1.13 | 0.270
#> cyl | 13.14 | 7.90 | [ -3.10, 29.38] | 1.66 | 0.108
#> hp | 0.63 | 0.20 | [ 0.22, 1.03] | 3.18 | 0.004
#> wt | 80.45 | 12.22 | [ 55.33, 105.57] | 6.58 | < .001
#> qsec | -14.68 | 6.14 | [ -27.31, -2.05] | -2.39 | 0.024
#> carb | -28.75 | 5.60 | [ -40.28, -17.23] | -5.13 | < .001
```
## Citation
In order to cite this package, please use the following command:
``` r
citation("parameters")
To cite package 'parameters' in publications use:
Lüdecke D, Ben-Shachar M, Patil I, Makowski D (2020). "Extracting,
Computing and Exploring the Parameters of Statistical Models using
R." _Journal of Open Source Software_, *5*(53), 2445.
doi:10.21105/joss.02445 .
A BibTeX entry for LaTeX users is
@Article{,
title = {Extracting, Computing and Exploring the Parameters of Statistical Models using {R}.},
volume = {5},
doi = {10.21105/joss.02445},
number = {53},
journal = {Journal of Open Source Software},
author = {Daniel Lüdecke and Mattan S. Ben-Shachar and Indrajeet Patil and Dominique Makowski},
year = {2020},
pages = {2445},
}
```
## Code of Conduct
Please note that the parameters project is released with a [Contributor
Code of
Conduct](https://www.contributor-covenant.org/version/2/1/code_of_conduct/).
By contributing to this project, you agree to abide by its terms.
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