fisherC: Summarize tests of directed separation using Fisher's C...

In piecewiseSEM: Piecewise Structural Equation Modeling

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

Value

a data.frame corresponding to the C statistic, d.f., and P-value

piecewiseSEM documentation built on March 7, 2023, 7:45 p.m.