ItemData: Prepares data for up-dating scale value parameters of nominal...

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

Description

This function creates a data frame, 'item data', to be used in the item regressions for nominal models. It computes weighted rest scores and totals, including correlated traits. This function is internal to 'ItemLoop' and it is unlikely to be run outside of 'fit.nominal' or 'ple.lma'.

Usage

ItemData(
  Master,
  ItemID,
  Phi.mat = Phi.mat,
  npersons,
  nitems,
  ntraits,
  ncat,
  nless,
  TraitByTrait,
  pq.mat,
  LambdaName,
  NuName
)

Arguments

Master	Master data frame
ItemID	The item for which scale values are being up-dated
Phi.mat	Current estimate conditional covariance matrix (i.e., association paramters)
npersons	Number of persons
nitems	Number of items
ntraits	Number of traits
ncat	Number of categories
nless	Number of unique lambdas and unique nus
TraitByTrait	Same as inTraitAdj
pq.mat	One dimemsinal array used to get rest and totals scores
LambdaName	Name of lambdas for in item regression
NuName	Name of nus in item regression

Value

ItemFit Data frame used to up-date scale values

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