DRR                     Dimensionality Reduction via Regression (DRR)
ICA                     Independent Component Analysis (ICA)
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.merMod               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
data_partition          Partition data into a test and a training set
degrees_of_freedom      Degrees of Freedom (DoF)
demean                  Compute group-meaned and de-meaned variables
describe_distribution   Describe a Distribution
dof_kenward             p-values using Kenward-Roger approximation
equivalence_test.lm     Equivalence test
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
model_bootstrap         Model bootstrapping
model_parameters        Model Parameters
model_parameters.BFBayesFactor
                        BayesFactor objects Parameters
model_parameters.Mclust
                        Mixture Models Parameters
model_parameters.PCA    Structural Models (PCA, EFA, ...)
model_parameters.aov    ANOVAs Parameters
model_parameters.befa   Format PCA/FA from the psych package
model_parameters.default
                        Parameters of (General) Linear Models
model_parameters.gam    Parameters of Generalized Additive (Mixed)
                        Models
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.merMod
                        Mixed Model Parameters
model_parameters.stanreg
                        Bayesian Models Parameters
model_parameters.zeroinfl
                        Model Parameters for Zero-Inflated Models
model_simulate          Simulated draws from model coefficients
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
p_value                 p-values
parameters_bootstrap    Parameters bootstrapping
parameters_reduction    Dimensionality reduction (DR) / Features
                        Reduction
parameters_selection    Parameters Selection
parameters_simulate     Parameters simulation
parameters_table        Parameters Table Formatting
parameters_type         Type of Model Parameters
principal_components    Principal Component Analysis (PCA)
print                   Print model parameters
reshape_loadings        Reshape loadings between wide/long formats
skewness                Compute Skewness and Kurtosis
smoothness              Quantify the smoothness of a vector
standard_error_robust   Extract standard errors
standardize_names       Standardize column names
