Processing of Model Parameters

Documentation for package ‘parameters’ version 0.3.0

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-- C --

check_clusterstructure	Check suitability of data for Clustering
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_multimodal	Check if a distribution is unimodal or multimodal
check_sphericity	Bartlett's Test of Sphericity
ci.default	Confidence Interval (CI)
ci.glm	Confidence Interval (CI)
ci.glmmTMB	Confidence Interval (CI)
ci.hurdle	Confidence Interval (CI)
ci.merMod	Confidence Interval (CI)
ci.MixMod	Confidence Interval (CI)
ci.zeroinfl	Confidence Interval (CI)
ci_robust	Confidence Interval (CI)
ci_wald	Wald-test approximation for CIs and p-values
cluster_analysis	Compute cluster analysis and return group indices
cluster_discrimination	Compute a linear discriminant analysis on classified cluster groups
cmds	Classical Multidimensional Scaling (cMDS)
convert_data_to_numeric	Convert data to numeric
convert_efa_to_cfa	Conversion between EFA results and CFA structure
convert_efa_to_cfa.fa	Conversion between EFA results and CFA structure

-- D --

data_partition	Partition data into a test and a training set
data_to_numeric	Convert data to numeric
degrees_of_freedom	Degrees of Freedom (DoF)
demean	Compute group-meaned and de-meaned variables
describe_distribution	Describe a Distribution
dof	Degrees of Freedom (DoF)
dof_kenward	p-values using Kenward-Roger approximation
DRR	Dimensionality Reduction via Regression (DRR)

-- E --

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

-- F --

factor_analysis	Factor Analysis (FA)
format_algorithm	Model Algorithm Formatting
format_bf	Bayes Factor Formatting
format_ci	Confidence/Credible Interval (CI) Formatting
format_model	Model Name Formatting
format_number	Convert number to words
format_order	Order (first, second, ...) formatting
format_p	p-values formatting
format_parameters	Parameters Names Formatting
format_pd	Probability of direction (pd) Formatting
format_rope	Percentage in ROPE Formatting

-- I --

ICA	Independent Component Analysis (ICA)

-- K --

Compute Skewness and Kurtosis

-- M --

model_bootstrap	Model bootstrapping
model_parameters	Model Parameters
model_parameters.aov	ANOVAs Parameters
model_parameters.befa	Format PCA/FA from the psych package
model_parameters.BFBayesFactor	BayesFactor objects Parameters
model_parameters.brmsfit	Bayesian Models Parameters
model_parameters.default	Parameters of (General) Linear Models
model_parameters.gam	Parameters of Generalized Additive (Mixed) Models
model_parameters.glmmTMB	Mixed Model Parameters
model_parameters.htest	Correlations and t-test Parameters
model_parameters.kmeans	Cluster Models (k-means, ...)
model_parameters.lavaan	Format CFA/SEM from the lavaan package
model_parameters.Mclust	Mixture Models Parameters
model_parameters.merMod	Mixed Model Parameters
model_parameters.omega	Structural Models (PCA, EFA, ...)
model_parameters.PCA	Structural Models (PCA, EFA, ...)
model_parameters.principal	Structural Models (PCA, EFA, ...)
model_parameters.stanreg	Bayesian Models Parameters
model_parameters.zeroinfl	Model Parameters for Zero-Inflated Models
model_simulate	Simulated draws from model coefficients
model_simulate.glmmTMB	Simulated draws from model coefficients

-- N --

n_clusters	Number of Clusters to Extract
n_factors	Number of Components/Factors to Retain in Factor Analysis
n_parameters	Count number parameters in a model
n_parameters.brmsfit	Count number parameters in a model
n_parameters.default	Count number parameters in a model
n_parameters.gam	Count number parameters in a model
n_parameters.glmmTMB	Count number parameters in a model
n_parameters.merMod	Count number parameters in a model
n_parameters.zeroinfl	Count number parameters in a model

-- P --

parameters	Model Parameters
parameters_bootstrap	Parameters bootstrapping
parameters_reduction	Dimensionality reduction (DR) / Features Reduction
parameters_selection	Parameters Selection
parameters_selection.lm	Parameters Selection
parameters_selection.merMod	Parameters Selection
parameters_selection.stanreg	Parameters Selection
parameters_simulate	Parameters simulation
parameters_simulate.default	Parameters simulation
parameters_table	Parameters Table Formatting
parameters_type	Type of Model Parameters
principal_components	Principal Component Analysis (PCA)
print	Print model parameters
print.parameters_model	Print model parameters
p_value	p-values
p_value.glmmTMB	p-values
p_value.lmerMod	p-values
p_value.MixMod	p-values
p_value_kenward	p-values using Kenward-Roger approximation
p_value_robust	p-values
p_value_wald	Wald-test approximation for CIs and p-values
p_value_wald.merMod	Wald-test approximation for CIs and p-values

-- R --

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

-- S --

se_kenward	p-values using Kenward-Roger approximation
skewness	Compute Skewness and Kurtosis
smoothness	Quantify the smoothness of a vector
standardize_names	Standardize column names
standardize_names.parameters_model	Standardize column names
standard_error	Extract standard errors
standard_error.default	Extract standard errors
standard_error.factor	Extract standard errors
standard_error.glmmTMB	Extract standard errors
standard_error.merMod	Extract standard errors
standard_error.MixMod	Extract standard errors
standard_error_robust	Extract standard errors