ItemGPCM.data: Creates data frame up-dating phi parameters of the gpcm.

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

Description

This function creates a data frame, 'gpcm.item.data', to be used in the item regressions of LMA models where category scales values are fixed. Sets up data for up-dating alpha parameters of the LMA that corresponds to the GPCM. This function is internal to 'item.gpcm' and it is unlikely to be run outside of 'fit.gpcm' or 'ple.lma'.

Usage

ItemGPCM.data(
  Master,
  ItemID,
  Phi.mat,
  TraitByTrait,
  pq.mat,
  starting.sv,
  npersons,
  nitems,
  ncat,
  nless,
  ntraits,
  LambdaName
)

Arguments

Master	Data frame of all data in long format
ItemID	Specifies the item for which a data frame is created to be input into an item regression
Phi.mat	Starting value of matrix of association parameters
TraitByTrait	Trait by trait adjacency matrix (same as inTraitAdj)
pq.mat	Array used to compute rest scores
starting.sv	Matrix of item category scores that are fixed
npersons	Number of persons
nitems	Number of items
ncat	Number of categories
nless	Number of unique lambdas (ncat-1)
ntraits	Number of latent traits
LambdaName	Names for lambda for item regression

Value

gpcm.item.data Data frame for item to be used up-dated in an item regression for specified item

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