
Function reference
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compare_parameters()
compare_models()
- Compare model parameters of multiple models
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dominance_analysis()
- Dominance Analysis
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model_parameters()
parameters()
- Model Parameters
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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
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model_parameters(<befa>)
- Parameters from Bayesian Exploratory Factor Analysis
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model_parameters(<default>)
model_parameters(<glm>)
model_parameters(<censReg>)
model_parameters(<ridgelm>)
model_parameters(<polr>)
model_parameters(<negbin>)
- Parameters from (General) Linear Models
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model_parameters(<zcpglm>)
model_parameters(<mhurdle>)
model_parameters(<zeroinfl>)
model_parameters(<hurdle>)
model_parameters(<zerocount>)
- Parameters from Zero-Inflated Models
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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
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model_parameters(<DirichletRegModel>)
model_parameters(<bifeAPEs>)
model_parameters(<bracl>)
model_parameters(<mlm>)
model_parameters(<clm2>)
- Parameters from multinomial or cumulative link models
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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
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model_parameters(<PCA>)
model_parameters(<FAMD>)
model_parameters(<lavaan>)
model_parameters(<principal>)
model_parameters(<omega>)
model_parameters(<sem>)
- Parameters from PCA, FA, CFA, SEM
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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, ...)
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model_parameters(<mipo>)
model_parameters(<mira>)
- Parameters from multiply imputed repeated analyses
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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
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model_parameters(<BFBayesFactor>)
- Parameters from BayesFactor objects
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model_parameters(<rma>)
- Parameters from Meta-Analysis
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model_parameters(<htest>)
model_parameters(<pairwise.htest>)
model_parameters(<coeftest>)
- Parameters from hypothesis tests
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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(<hypotheses>)
model_parameters(<slopes>)
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
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pool_parameters()
- Pool Model Parameters
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random_parameters()
- Summary information from random effects
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print(<parameters_model>)
summary(<parameters_model>)
- Print model parameters
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sort_parameters()
- Sort parameters by coefficient values
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standardize_parameters()
standardize_posteriors()
- Parameters standardization
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standardize_info()
- Get Standardization Information
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standard_error()
- Standard Errors
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ci(<default>)
ci(<glmmTMB>)
ci(<merMod>)
- Confidence Intervals (CI)
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p_value()
- p-values
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p_value(<BFBayesFactor>)
- p-values for Bayesian Models
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p_value(<zcpglm>)
p_value(<zeroinfl>)
- p-values for Models with Zero-Inflation
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p_value(<poissonmfx>)
p_value(<betaor>)
p_value(<betamfx>)
- p-values for Marginal Effects Models
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p_value(<DirichletRegModel>)
p_value(<averaging>)
p_value(<betareg>)
p_value(<cgam>)
p_value(<clm2>)
- p-values for Models with Special Components
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degrees_of_freedom()
dof()
- Degrees of Freedom (DoF)
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reexports
equivalence_test
ci
n_parameters
standardize_names
supported_models
print_html
print_md
display
describe_distribution
demean
rescale_weights
visualisation_recipe
kurtosis
skewness
- Objects exported from other packages
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ci_kenward()
dof_kenward()
p_value_kenward()
se_kenward()
- Kenward-Roger approximation for SEs, CIs and p-values
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ci_satterthwaite()
dof_satterthwaite()
p_value_satterthwaite()
se_satterthwaite()
- Satterthwaite approximation for SEs, CIs and p-values
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ci_betwithin()
dof_betwithin()
p_value_betwithin()
- Between-within approximation for SEs, CIs and p-values
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ci_ml1()
dof_ml1()
p_value_ml1()
- "m-l-1" approximation for SEs, CIs and p-values
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reexports
equivalence_test
ci
n_parameters
standardize_names
supported_models
print_html
print_md
display
describe_distribution
demean
rescale_weights
visualisation_recipe
kurtosis
skewness
- Objects exported from other packages
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p_calibrate()
- Calculate calibrated p-values.
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p_function()
consonance_function()
confidence_curve()
- p-value or consonance function
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bootstrap_model()
- Model bootstrapping
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bootstrap_parameters()
- Parameters bootstrapping
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simulate_model()
- Simulated draws from model coefficients
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simulate_parameters()
- Simulate Model Parameters
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reduce_parameters()
reduce_data()
- Dimensionality reduction (DR) / Features Reduction
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select_parameters()
- Automated selection of model parameters
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cluster_analysis()
- Cluster Analysis
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cluster_centers()
- Find the cluster centers in your data
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cluster_discrimination()
- Compute a linear discriminant analysis on classified cluster groups
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cluster_meta()
- Metaclustering
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cluster_performance()
- Performance of clustering models
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n_clusters()
n_clusters_elbow()
n_clusters_gap()
n_clusters_silhouette()
n_clusters_dbscan()
n_clusters_hclust()
- Find number of clusters in your data
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predict(<parameters_clusters>)
- Predict method for parameters_clusters objects
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convert_efa_to_cfa()
efa_to_cfa()
- Conversion between EFA results and CFA structure
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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)
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get_scores()
- Get Scores from Principal Component Analysis (PCA)
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n_factors()
n_components()
- Number of components/factors to retain in PCA/FA
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reduce_parameters()
reduce_data()
- Dimensionality reduction (DR) / Features Reduction
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reshape_loadings()
- Reshape loadings between wide/long formats
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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
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format_order()
- Order (first, second, ...) formatting
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format_parameters()
- Parameter names formatting
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format_p_adjust()
- Format the name of the p-value adjustment methods
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format_df_adjust()
- Format the name of the degrees-of-freedom adjustment methods
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parameters_type()
- Type of model parameters
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reexports
equivalence_test
ci
n_parameters
standardize_names
supported_models
print_html
print_md
display
describe_distribution
demean
rescale_weights
visualisation_recipe
kurtosis
skewness
- Objects exported from other packages
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qol_cancer
- Sample data set
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fish
- Sample data set