Processing of Model Parameters

Documentation for package ‘parameters’ version 0.22.1

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-- B --

bootstrap_model	Model bootstrapping
bootstrap_model.default	Model bootstrapping
bootstrap_model.merMod	Model bootstrapping
bootstrap_parameters	Parameters bootstrapping
bootstrap_parameters.default	Parameters bootstrapping

-- C --

ci.default	Confidence Intervals (CI)
ci.glmmTMB	Confidence Intervals (CI)
ci.merMod	Confidence Intervals (CI)
ci_betwithin	Between-within approximation for SEs, CIs and p-values
ci_kenward	Kenward-Roger approximation for SEs, CIs and p-values
ci_ml1	"m-l-1" approximation for SEs, CIs and p-values
ci_satterthwaite	Satterthwaite approximation for SEs, CIs and p-values
closest_component	Principal Component Analysis (PCA) and Factor Analysis (FA)
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
cluster_performance.dbscan	Performance of clustering models
cluster_performance.hclust	Performance of clustering models
cluster_performance.kmeans	Performance of clustering models
cluster_performance.parameters_clusters	Performance of clustering models
compare_models	Compare model parameters of multiple models
compare_parameters	Compare model parameters of multiple models
confidence_curve	p-value or consonance function
consonance_function	p-value or consonance function
convert_efa_to_cfa	Conversion between EFA results and CFA structure
convert_efa_to_cfa.fa	Conversion between EFA results and CFA structure

-- D --

degrees_of_freedom	Degrees of Freedom (DoF)
degrees_of_freedom.default	Degrees of Freedom (DoF)
display.equivalence_test_lm	Print tables in different output formats
display.parameters_efa	Print tables in different output formats
display.parameters_efa_summary	Print tables in different output formats
display.parameters_model	Print tables in different output formats
display.parameters_sem	Print tables in different output formats
dof	Degrees of Freedom (DoF)
dof_betwithin	Between-within approximation for SEs, CIs and p-values
dof_kenward	Kenward-Roger approximation for SEs, CIs and p-values
dof_ml1	"m-l-1" approximation for SEs, CIs and p-values
dof_satterthwaite	Satterthwaite approximation for SEs, CIs and p-values
dominance_analysis	Dominance Analysis

-- E --

efa_to_cfa	Conversion between EFA results and CFA structure
equivalence_test.ggeffects	Equivalence test
equivalence_test.lm	Equivalence test
equivalence_test.merMod	Equivalence test

-- F --

factor_analysis	Principal Component Analysis (PCA) and Factor Analysis (FA)
fish	Sample data set
format.compare_parameters	Print comparisons of model parameters
format.parameters_model	Print model parameters
format_df_adjust	Format the name of the degrees-of-freedom adjustment methods
format_order	Order (first, second, ...) formatting
format_parameters	Parameter names formatting
format_parameters.default	Parameter names formatting
format_p_adjust	Format the name of the p-value adjustment methods

-- G --

get_scores

Get Scores from Principal Component Analysis (PCA)

-- M --

model_parameters	Model Parameters
model_parameters.afex_aov	Parameters from ANOVAs
model_parameters.aov	Parameters from ANOVAs
model_parameters.averaging	Parameters from special models
model_parameters.befa	Parameters from Bayesian Exploratory Factor Analysis
model_parameters.betamfx	Parameters from special models
model_parameters.betaor	Parameters from special models
model_parameters.betareg	Parameters from special models
model_parameters.BFBayesFactor	Parameters from BayesFactor objects
model_parameters.bifeAPEs	Parameters from multinomial or cumulative link models
model_parameters.bracl	Parameters from multinomial or cumulative link models
model_parameters.brmsfit	Parameters from Bayesian Models
model_parameters.censReg	Parameters from (General) Linear Models
model_parameters.cgam	Parameters from Generalized Additive (Mixed) Models
model_parameters.clm2	Parameters from multinomial or cumulative link models
model_parameters.clmm	Parameters from Mixed Models
model_parameters.clmm2	Parameters from Mixed Models
model_parameters.coeftest	Parameters from hypothesis tests
model_parameters.cpglmm	Parameters from Mixed Models
model_parameters.data.frame	Parameters from Bayesian Models
model_parameters.dbscan	Parameters from Cluster Models (k-means, ...)
model_parameters.default	Parameters from (General) Linear Models
model_parameters.DirichletRegModel	Parameters from multinomial or cumulative link models
model_parameters.draws	Parameters from Bayesian Models
model_parameters.emm_list	Parameters from special models
model_parameters.Gam	Parameters from Generalized Additive (Mixed) Models
model_parameters.gamm	Parameters from Generalized Additive (Mixed) Models
model_parameters.glht	Parameters from Hypothesis Testing
model_parameters.glimML	Parameters from special models
model_parameters.glm	Parameters from (General) Linear Models
model_parameters.glmmTMB	Parameters from Mixed Models
model_parameters.glmx	Parameters from special models
model_parameters.hclust	Parameters from Cluster Models (k-means, ...)
model_parameters.hkmeans	Parameters from Cluster Models (k-means, ...)
model_parameters.htest	Parameters from hypothesis tests
model_parameters.kmeans	Parameters from Cluster Models (k-means, ...)
model_parameters.lavaan	Parameters from PCA, FA, CFA, SEM
model_parameters.lme	Parameters from Mixed Models
model_parameters.marginaleffects	Parameters from special models
model_parameters.Mclust	Parameters from Cluster Models (k-means, ...)
model_parameters.MCMCglmm	Parameters from Bayesian Models
model_parameters.merMod	Parameters from Mixed Models
model_parameters.metaplus	Parameters from special models
model_parameters.meta_bma	Parameters from special models
model_parameters.meta_random	Parameters from special models
model_parameters.mhurdle	Parameters from Zero-Inflated Models
model_parameters.mipo	Parameters from multiply imputed repeated analyses
model_parameters.mira	Parameters from multiply imputed repeated analyses
model_parameters.mixed	Parameters from Mixed Models
model_parameters.MixMod	Parameters from Mixed Models
model_parameters.mjoint	Parameters from special models
model_parameters.mlm	Parameters from multinomial or cumulative link models
model_parameters.mvord	Parameters from special models
model_parameters.pam	Parameters from Cluster Models (k-means, ...)
model_parameters.PCA	Parameters from PCA, FA, CFA, SEM
model_parameters.principal	Parameters from PCA, FA, CFA, SEM
model_parameters.pvclust	Parameters from Cluster Models (k-means, ...)
model_parameters.ridgelm	Parameters from (General) Linear Models
model_parameters.rma	Parameters from Meta-Analysis
model_parameters.scam	Parameters from Generalized Additive (Mixed) Models
model_parameters.selection	Parameters from special models
model_parameters.stanreg	Parameters from Bayesian Models
model_parameters.t1way	Parameters from robust statistical objects in 'WRS2'
model_parameters.zcpglm	Parameters from Zero-Inflated Models

-- N --

n_clusters	Find number of clusters in your data
n_clusters_dbscan	Find number of clusters in your data
n_clusters_elbow	Find number of clusters in your data
n_clusters_gap	Find number of clusters in your data
n_clusters_hclust	Find number of clusters in your data
n_clusters_silhouette	Find number of clusters in your data
n_components	Number of components/factors to retain in PCA/FA
n_factors	Number of components/factors to retain in PCA/FA

-- P --

parameters	Model Parameters
parameters_type	Type of model parameters
pool_parameters	Pool Model Parameters
predict.parameters_clusters	Predict method for parameters_clusters objects
predict.parameters_efa	Principal Component Analysis (PCA) and Factor Analysis (FA)
principal_components	Principal Component Analysis (PCA) and Factor Analysis (FA)
print.compare_parameters	Print comparisons of model parameters
print.parameters_efa	Principal Component Analysis (PCA) and Factor Analysis (FA)
print.parameters_model	Print model parameters
print_html.compare_parameters	Print comparisons of model parameters
print_html.parameters_model	Print model parameters
print_md.compare_parameters	Print comparisons of model parameters
print_md.parameters_model	Print model parameters
print_table	Print tables in different output formats
p_calibrate	Calculate calibrated p-values.
p_calibrate.default	Calculate calibrated p-values.
p_function	p-value or consonance function
p_value	p-values
p_value.averaging	p-values for Models with Special Components
p_value.betamfx	p-values for Marginal Effects Models
p_value.betaor	p-values for Marginal Effects Models
p_value.betareg	p-values for Models with Special Components
p_value.BFBayesFactor	p-values for Bayesian Models
p_value.cgam	p-values for Models with Special Components
p_value.clm2	p-values for Models with Special Components
p_value.default	p-values
p_value.DirichletRegModel	p-values for Models with Special Components
p_value.emmGrid	p-values
p_value.poissonmfx	p-values for Marginal Effects Models
p_value.zcpglm	p-values for Models with Zero-Inflation
p_value.zeroinfl	p-values for Models with Zero-Inflation
p_value_betwithin	Between-within approximation for SEs, CIs and p-values
p_value_kenward	Kenward-Roger approximation for SEs, CIs and p-values
p_value_ml1	"m-l-1" approximation for SEs, CIs and p-values
p_value_satterthwaite	Satterthwaite approximation for SEs, CIs and p-values

-- Q --

qol_cancer

Sample data set

-- R --

random_parameters	Summary information from random effects
reduce_data	Dimensionality reduction (DR) / Features Reduction
reduce_parameters	Dimensionality reduction (DR) / Features Reduction
reshape_loadings	Reshape loadings between wide/long formats
reshape_loadings.data.frame	Reshape loadings between wide/long formats
reshape_loadings.parameters_efa	Reshape loadings between wide/long formats
rotated_data	Principal Component Analysis (PCA) and Factor Analysis (FA)

-- S --

select_parameters	Automated selection of model parameters
select_parameters.lm	Automated selection of model parameters
select_parameters.merMod	Automated selection of model parameters
se_kenward	Kenward-Roger approximation for SEs, CIs and p-values
se_satterthwaite	Satterthwaite approximation for SEs, CIs and p-values
simulate_model	Simulated draws from model coefficients
simulate_model.glmmTMB	Simulated draws from model coefficients
simulate_parameters	Simulate Model Parameters
simulate_parameters.default	Simulate Model Parameters
simulate_parameters.glmmTMB	Simulate Model Parameters
sort.parameters_efa	Principal Component Analysis (PCA) and Factor Analysis (FA)
sort_parameters	Sort parameters by coefficient values
sort_parameters.default	Sort parameters by coefficient values
standardise_info	Get Standardization Information
standardise_parameters	Parameters standardization
standardise_posteriors	Parameters standardization
standardize_info	Get Standardization Information
standardize_info.default	Get Standardization Information
standardize_parameters	Parameters standardization
standardize_posteriors	Parameters standardization
standard_error	Standard Errors
standard_error.default	Standard Errors
standard_error.factor	Standard Errors
standard_error.glmmTMB	Standard Errors
standard_error.merMod	Standard Errors
summary.parameters_model	Print model parameters