MsemMiive: miiv-2sls estimation for msems

In mlgiordano1/MIIVmsem:

Description

miiv-2sls estimation for msems

Usage

MsemMiive(model_2lvl, data = NULL, cluster, sample.cov.w = NULL,
  sample.acov.w = NULL, sample.cov.b = NULL, sample.acov.b = NULL,
  l1Instruments = NULL, l2Instruments = NULL, miiv.check = TRUE,
  printProg = FALSE)

Arguments

model_2lvl	Two level SEM model syntax
data	dataframe with all necessary variables
cluster	character vector with name of grouping variable
miiv.check	boolean
printProg	boolean - print progress of estimation
(optional)	sample.cov.w user supplied WITHIN clusters covariance matrix
(optional)	sample.acov.w user supplied asymptotic covariance matrix for sample.cov.w
(optional)	sample.cov.b user supplied BETWEEN clusters covariance matrix
(optional)	sample.acov.b user supplied asymptotic covariance matrix for sample.cov.b
(optional)	l1Instruments user supplied instruments for WITHIN level
(optional)	l2Instruments user supplied instruments for BETWEEN level

Value

list of model fit objects

Examples

MsemMiive(model_2lvl, data, cluster)

mlgiordano1/MIIVmsem documentation built on Dec. 5, 2019, 12:50 a.m.