WBFormula: WBFormula class for within-between model formula...
In panelr: Regression Models and Utilities for Repeated Measures and Panel Data

WBFormula

R Documentation

WBFormula class for within-between model formula representation

Description

S3 class that represents a parsed within-between formula. This provides a structured intermediate representation between the user-specified formula and the final lme4 formula.

Constructor for the WBFormula S3 class.

Usage

WBFormula(
  raw_formula,
  dv,
  varying = character(0),
  constants = character(0),
  v_info = NULL,
  wint_labs = NULL,
  cint_labs = NULL,
  bint_labs = NULL,
  ranefs = NULL,
  data = NULL,
  allvars = NULL,
  conds = NULL,
  matrix_terms = NULL
)

Arguments

`raw_formula`	The original Formula object
`dv`	The dependent variable name
`varying`	Character vector of time-varying predictor terms
`constants`	Character vector of time-invariant predictor terms
`v_info`	Tibble with columns: term, root, lag, meanvar
`wint_labs`	Character vector of within x within interaction labels
`cint_labs`	Character vector of cross-level interaction labels
`bint_labs`	Character vector of between x between interaction labels
`ranefs`	Character vector of random effects specifications
`data`	The data frame (with any expanded factors)
`allvars`	Character vector of all variables needed (passed from parser)
`conds`	Integer number of formula conditions/parts
`matrix_terms`	Optional list of metadata for matrix-returning terms detected in the varying part of the formula (e.g., `splines::ns()`, `splines::bs()`, `stats::poly()`). These terms are expanded into within- and between- component columns during data preparation.