ALASCA: Create an ALASCA model
In andjar/ALASCA: Assorted, Linear ASCA Functions

ALASCA

R Documentation

Create an ALASCA model

Description

ALASCA initializes an ALASCA model and returns an ALASCA object.

Usage

ALASCA(df, formula, effects = NULL, ...)

Arguments

`df`	Data frame to be analyzed
`formula`	Regression formula
`effects`	Vector with effect terms. If `NULL`, ALASCA will guess (default)
`scale_function`	Either a custom function or string to define scaling function: `sdall`, `sdref`, `sdt1`, `sdreft1`
`separate_effects`	Boolean. Separate effects?
`equal_baseline`	Set to `TRUE` to remove interaction between effects
`validate`	Boolean. If `TRUE`, give estimates for robustness
`n_validation_runs`	number of validation runs
`validation_method`	Choose between `bootstrap` (default) and "jack-knife"
`stratification_column`	The column to stratify participants by
`save`	Save models and plots automatically (default: `FALSE`)
`filename`	File name to save model and plots (when `save = TRUE`)
`use_Rfast`	Boolean. Defaults to `TRUE`
`p_adjust_method`	Method for correcting p values for multiple testing, see p.adjust.methods
`participant_column`	String. Name of the column containing participant identification
`n_validation_folds`	Partitions when validating

Details

This function builds your ALASCA model. It needs, at least, a data frame and a formula. The effect matrices can be specified with effects, e.g., c("time", "time+group+time:group", "group+time:group").