fisherC: Summarize tests of directed separation using Fisher's C...
In piecewiseSEM: Piecewise Structural Equation Modeling

fisherC

R Documentation

Summarize tests of directed separation using Fisher's C statistic

Description

Summarize tests of directed separation using Fisher's C statistic

Usage

fisherC(
  dTable,
  add.claims = NULL,
  basis.set = NULL,
  direction = NULL,
  interactions = FALSE,
  conserve = FALSE,
  conditional = FALSE,
  .progressBar = FALSE
)

Arguments

`dTable`	a `data.frame` containing tests of directed separation from `dSep`
`add.claims`	an optional vector of additional independence claims (i.e., P-values) to be added to the basis set
`basis.set`	An optional list of independence claims.
`direction`	a vector of claims defining the specific directionality of any independence claim(s)
`interactions`	whether interactions should be included in independence claims. Default is FALSE
`conserve`	whether the most conservative P-value should be returned. Default is FALSE
`conditional`	whether the conditioning variables should be shown in the table. Default is FALSE
`.progressBar`	an optional progress bar. Default is FALSE