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Comprehensive Model Parameters

compare_parameters() compare_models()
Compare model parameters of multiple models
model_parameters() parameters()
Model Parameters
model_parameters(<aov>)
Parameters from ANOVAs
model_parameters(<befa>)
Parameters from Bayesian Exploratory Factor Analysis
model_parameters(<default>) model_parameters(<glm>) model_parameters(<logitor>) model_parameters(<poissonmfx>) model_parameters(<betamfx>)
Parameters from (General) Linear Models
model_parameters(<zcpglm>)
Parameters from Zero-Inflated Models
model_parameters(<cgam>) model_parameters(<gam>) model_parameters(<rqss>)
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(<mixor>) model_parameters(<clmm>)
Parameters from Mixed Models
model_parameters(<lavaan>)
Parameters from CFA/SEM models
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(<mira>)
Parameters from multiply imputed repeated analyses
model_parameters(<PCA>) model_parameters(<principal>) model_parameters(<omega>)
Parameters from Structural Models (PCA, EFA, ...)
model_parameters(<data.frame>) model_parameters(<brmsfit>) model_parameters(<draws>) 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>)
Parameters from hypothesis tests
model_parameters(<PMCMR>) model_parameters(<glht>)
Parameters from Hypothesis Testing
model_parameters(<averaging>) model_parameters(<betareg>) model_parameters(<glmx>)
Parameters from special models
model_parameters(<t1way>)
Parameters from robust statistical objects in WRS2
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 Freesom and p-values

standard_error()
Standard Errors
ci(<default>) ci(<glmmTMB>) ci(<merMod>)
Confidence Intervals (CI)
p_value()
p-values
p_value(<BFBayesFactor>)
p-values for Bayesian Models
p_value(<zcpglm>) p_value(<zeroinfl>)
p-values for Models with Zero-Inflation
p_value(<poissonmfx>) p_value(<betaor>) p_value(<betamfx>)
p-values for Marginal Effects Models
p_value(<DirichletRegModel>) p_value(<averaging>) p_value(<betareg>) p_value(<cgam>) p_value(<clm2>)
p-values for Models with Special Components
degrees_of_freedom() dof()
Degrees of Freedom (DoF)
reexports
Objects exported from other packages

Robust Estimation Methods

standard_error_robust()
Robust standard errors. Superseded by the vcov* arguments in standard_error()

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

reexports
Objects exported from other packages
equivalence_test(<lm>) equivalence_test(<merMod>)
Equivalence test

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

check_clusterstructure()
Check suitability of data for clustering
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

check_factorstructure()
Check suitability of data for Factor Analysis (FA)
check_kmo()
Kaiser, Meyer, Olkin (KMO) Measure of Sampling Adequacy (MSA) for Factor Analysis
check_sphericity_bartlett()
Bartlett's Test of Sphericity
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

display(<parameters_model>) display(<parameters_sem>) display(<parameters_efa_summary>) display(<parameters_efa>) display(<equivalence_test_lm>) format(<parameters_model>) print_html(<parameters_model>) print_md(<parameters_model>)
Print tables in different output formats
format_order()
Order (first, second, ...) formatting
format_parameters()
Parameter names formatting
format_p_adjust()
Format the name of the p-value adjustment methods
format_df_adjust()
Format the name of the degrees-of-freedom adjustment methods
parameters_type()
Type of model parameters
reexports
Objects exported from other packages

Example Data Sets

qol_cancer
Sample data set
fish
Sample data set

Deprecated

check_heterogeneity()
Check model predictor for heterogeneity bias