StackData: Prepares data for up-dating association parameters of a...

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 Nominal item response model. This function is called from 'fit.nominal'. It generally would not run outside of either 'fit.nominal' or 'ple.lma'.

Usage

StackData(
  Master,
  item.log,
  phi.log,
  pq.mat,
  npersons,
  nitems,
  ncat,
  nless,
  ntraits,
  Maxnphi,
  PhiNames,
  LambdaNames
)

Arguments

Master	Master data frame from which stacked data is created
item.log	Last row contains current scale values (item.history)
phi.log	Last row contains current estimates of phi
pq.mat	Summing array to get rest scores and totals
npersons	Number of persons
nitems	Number of items
ncat	Number of categories per item
nless	Number of categories less 1 (i.e., unique lambdas and unique nus)
ntraits	Number of latent traits
Maxnphi	Number of phis to be estimated
PhiNames	Names of the Phi parameters
LambdaNames	Names of lambdas that correspond to those in Master

Value

Phi.mat Up-dated matrix of phi parameters

phi.log History of iterations for LogLike, Lambda and phi parameters

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