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Comprehensive Model Parameters

compare_parameters() compare_models()
Compare model parameters of multiple models
dominance_analysis()
Dominance Analysis
model_parameters() parameters()
Model Parameters
model_parameters(<aov>) model_parameters(<anova>) model_parameters(<aovlist>) model_parameters(<afex_aov>) model_parameters(<anova.rms>) model_parameters(<Anova.mlm>) model_parameters(<maov>)
Parameters from ANOVAs
model_parameters(<befa>)
Parameters from Bayesian Exploratory Factor Analysis
model_parameters(<default>) model_parameters(<glm>) model_parameters(<censReg>) model_parameters(<ridgelm>) model_parameters(<polr>) model_parameters(<negbin>) model_parameters(<svyglm>)
Parameters from (General) Linear Models
model_parameters(<zcpglm>) model_parameters(<mhurdle>) model_parameters(<zeroinfl>) model_parameters(<hurdle>) model_parameters(<zerocount>)
Parameters from Zero-Inflated Models
model_parameters(<cgam>) model_parameters(<gam>) model_parameters(<gamlss>) model_parameters(<gamm>) model_parameters(<Gam>) model_parameters(<scam>) model_parameters(<vgam>)
Parameters from Generalized Additive (Mixed) Models
model_parameters(<DirichletRegModel>) model_parameters(<bifeAPEs>) model_parameters(<bracl>) model_parameters(<mlm>) model_parameters(<clm2>)
Parameters from multinomial or cumulative link models
model_parameters(<cpglmm>) model_parameters(<glmmTMB>) model_parameters(<merMod>) model_parameters(<merModList>) model_parameters(<mixed>) model_parameters(<MixMod>) model_parameters(<mixor>) model_parameters(<lme>) model_parameters(<clmm2>) model_parameters(<clmm>) model_parameters(<rlmerMod>) model_parameters(<HLfit>)
Parameters from Mixed Models
model_parameters(<PCA>) model_parameters(<FAMD>) model_parameters(<lavaan>) model_parameters(<principal>) model_parameters(<omega>) model_parameters(<sem>)
Parameters from PCA, FA, CFA, SEM
model_parameters(<dbscan>) model_parameters(<hclust>) model_parameters(<pvclust>) model_parameters(<kmeans>) model_parameters(<hkmeans>) model_parameters(<Mclust>) model_parameters(<pam>)
Parameters from Cluster Models (k-means, ...)
model_parameters(<mipo>) model_parameters(<mira>)
Parameters from multiply imputed repeated analyses
model_parameters(<MCMCglmm>) model_parameters(<bamlss>) model_parameters(<data.frame>) model_parameters(<bayesQR>) model_parameters(<brmsfit>) model_parameters(<mcmc.list>) model_parameters(<bcplm>) model_parameters(<blrm>) model_parameters(<draws>) model_parameters(<stanfit>) model_parameters(<stanreg>)
Parameters from Bayesian Models
model_parameters(<BFBayesFactor>)
Parameters from BayesFactor objects
model_parameters(<rma>)
Parameters from Meta-Analysis
model_parameters(<htest>) model_parameters(<pairwise.htest>) model_parameters(<coeftest>)
Parameters from hypothesis tests
model_parameters(<PMCMR>) model_parameters(<glimML>) model_parameters(<averaging>) model_parameters(<mle2>) model_parameters(<betareg>) model_parameters(<bfsl>) model_parameters(<deltaMethod>) model_parameters(<emmGrid>) model_parameters(<emm_list>) model_parameters(<epi.2by2>) model_parameters(<fitdistr>) model_parameters(<ggeffects>) model_parameters(<SemiParBIV>) model_parameters(<glmm>) model_parameters(<glmx>) model_parameters(<ivFixed>) model_parameters(<ivprobit>) model_parameters(<lmodel2>) model_parameters(<logistf>) model_parameters(<lqmm>) model_parameters(<marginaleffects>) model_parameters(<comparisons>) model_parameters(<marginalmeans>) model_parameters(<deltamethod>) model_parameters(<predictions>) model_parameters(<margins>) model_parameters(<maxLik>) model_parameters(<maxim>) model_parameters(<mediate>) model_parameters(<metaplus>) model_parameters(<meta_random>) model_parameters(<meta_fixed>) model_parameters(<meta_bma>) model_parameters(<logitor>) model_parameters(<poissonirr>) model_parameters(<negbinirr>) model_parameters(<poissonmfx>) model_parameters(<logitmfx>) model_parameters(<probitmfx>) model_parameters(<negbinmfx>) model_parameters(<betaor>) model_parameters(<betamfx>) model_parameters(<mjoint>) model_parameters(<model_fit>) model_parameters(<glht>) model_parameters(<mvord>) model_parameters(<pgmm>) model_parameters(<rqss>) model_parameters(<rqs>) model_parameters(<selection>) model_parameters(<mle>) model_parameters(<systemfit>) model_parameters(<varest>) model_parameters(<t1way>) model_parameters(<med1way>) model_parameters(<dep.effect>) model_parameters(<yuen>)
Parameters from special models
pool_parameters()
Pool Model Parameters
random_parameters()
Summary information from random effects
print(<parameters_model>) summary(<parameters_model>)
Print model parameters
sort_parameters()
Sort parameters by coefficient values
standardize_parameters() standardize_posteriors()
Parameters standardization
standardize_info()
Get Standardization Information

Standard Errors, Confidence Intervals, Degrees of Freedom and p-values

Approximation Methods

ci_kenward() dof_kenward() p_value_kenward() se_kenward()
Kenward-Roger approximation for SEs, CIs and p-values
ci_satterthwaite() dof_satterthwaite() p_value_satterthwaite() se_satterthwaite()
Satterthwaite approximation for SEs, CIs and p-values
ci_betwithin() dof_betwithin() p_value_betwithin()
Between-within approximation for SEs, CIs and p-values
ci_ml1() dof_ml1() p_value_ml1()
"m-l-1" approximation for SEs, CIs and p-values

Effect Existence and Significance

Parameter Sampling

bootstrap_model()
Model bootstrapping
bootstrap_parameters()
Parameters bootstrapping
simulate_model()
Simulated draws from model coefficients
simulate_parameters()
Simulate Model Parameters

Feature Reduction

reduce_parameters() reduce_data()
Dimensionality reduction (DR) / Features Reduction
select_parameters()
Automated selection of model parameters

Data Reduction

Cluster Analysis

cluster_analysis()
Cluster Analysis
cluster_centers()
Find the cluster centers in your data
cluster_discrimination()
Compute a linear discriminant analysis on classified cluster groups
cluster_meta()
Metaclustering
cluster_performance()
Performance of clustering models
n_clusters() n_clusters_elbow() n_clusters_gap() n_clusters_silhouette() n_clusters_dbscan() n_clusters_hclust()
Find number of clusters in your data
predict(<parameters_clusters>)
Predict method for parameters_clusters objects

Factors and Principal Components

convert_efa_to_cfa() efa_to_cfa()
Conversion between EFA results and CFA structure
factor_analysis() principal_components() rotated_data() predict(<parameters_efa>) print(<parameters_efa>) sort(<parameters_efa>) closest_component()
Principal Component Analysis (PCA) and Factor Analysis (FA)
get_scores()
Get Scores from Principal Component Analysis (PCA)
n_factors() n_components()
Number of components/factors to retain in PCA/FA
reduce_parameters() reduce_data()
Dimensionality reduction (DR) / Features Reduction
reshape_loadings()
Reshape loadings between wide/long formats

Table and Value Formatting

Example Data Sets

qol_cancer
Sample data set
fish
Sample data set