Compute a linear discriminant analysis on classified cluster groups
Compare model parameters of multiple models
Conversion between EFA results and CFA structure
Print tables in different output formats
Safe transformation from factor/character to numeric
for models with zero-inflation component, return required component of model-summary
Bartlett, Anderson and Lawley Procedures
Standard Error Scree and Coefficient of Determination Procedures
Extract factor scores from Factor Analysis (EFA) or Omega
Format the name of the degrees-of-freedom adjustment methods
Format the name of the p-value adjustment methods
Get Scores from Principal Component or Factor Analysis (PCA/FA)
Parameters from Bayesian Exploratory Factor Analysis
Parameters from Generalized Additive (Mixed) Models
Parameters from Cluster Models (k-means, ...)
Parameters from multiply imputed repeated analyses
Parameters from multinomial or cumulative link models
Parameters from robust statistical objects in 'WRS2'
Number of components/factors to retain in PCA/FA
Between-within approximation for SEs, CIs and p-values
Kenward-Roger approximation for SEs, CIs and p-values
"m-l-1" approximation for SEs, CIs and p-values
Satterthwaite approximation for SEs, CIs and p-values
Global options from the parameters package
parameters: Extracting, Computing and Exploring the Parameters of Statistical Models using R
Predict method for parameters_clusters objects
Principal Component Analysis (PCA) and Factor Analysis (FA)
Dimensionality reduction (DR) / Features Reduction
Reshape loadings between wide/long formats