sem.missing.paths: sem.missing.paths

Description Usage Arguments

View source: R/oldFunctions.R

Description

Tests of directed separation (old)

Usage

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sem.missing.paths(modelList, data, conditional = FALSE, corr.errors = NULL,
  add.vars = NULL, grouping.vars = NULL, grouping.fun = mean,
  adjust.p = FALSE, basis.set = NULL, model.control = NULL,
  .progressBar = TRUE)

Arguments

modelList

a list of regressions representing the structural equation model

data

a data.frame used to construct the structured equations

conditional

whether the full set of conditioning variables should be returned. Default is FALSE

corr.errors

a vector of variables with correlated errors (separated by "~~")

add.vars

a vector of additional variables whose independence claims should be evaluated, but which do not appear in the model list

grouping.vars

an optional variable that represents the levels of data aggregation for a multi-level dataset

grouping.fun

a function defining how variables are aggregated in grouping.vars. Default is mean

adjust.p

whether p-values degrees of freedom should be adjusted. Default is FALSE

basis.set

provide an optional basis set

model.control

a list of model control arguments to be passed to d-sep models

.progressBar

enable optional text progress bar. Default is TRUE


piecewiseSEM documentation built on July 26, 2018, 9:03 a.m.