StackDataGPCM: Prepares data for up-dating association parameters of LMA...

In pleLMA: Pseudo-Likelihood Estimation of Log-Multiplicative Association Models

Description

Prepares data frame for input to 'mnlogit' for the stacked regression to obtain association parameters of the multidimensional LMA models corresponding to the GPCM. This function is called from 'fit.gpcm'. It generally would not run outside of 'fit.nominal' or 'ple.lma'.

Usage

StackDataGPCM(
  Master,
  item.log,
  starting.sv,
  npersons,
  nitems,
  ncat,
  nless,
  Maxnphi,
  pq.mat,
  LambdaNames,
  PhiNames
)

Arguments

Master	Current master data frame
item.log	Current history of iterations from which currenat a parameters are drawn
starting.sv	Fixed category scores
npersons	Number of persons
nitems	Number of items
ncat	Number of categories
nless	Number of unique lambdas
Maxnphi	Number of estimated phi parameters
pq.mat	Array needed for rest-total scores
LambdaNames	Names of lambdas in Master/Stacked data set
PhiNames	Names of phi parameters

Value

stack.data Formats data for input to mnlogit to up-date phi parameters

pleLMA documentation built on Oct. 6, 2021, 1:08 a.m.