ItemLoop: loops through items and up-dates estimates of scale values...

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

Description

This is a core function of the pseudo-likelihood algorithm for items of the nominal model. The function calls function 'ItemData' to create the data frame for input into 'mlogit', which is use to fit a conditional multinomial model (i.e., a discrete choice model) for each item. The up-dated scale are put into the Master data frame and added to the item.log array. Generally the function would not run outside of 'fit.nominal' or 'ple.lma'.

Usage

ItemLoop(
  Master,
  item.log,
  Phi.mat = Phi.mat,
  PersonByItem,
  npersons,
  nitems,
  ntraits,
  ncat,
  nless,
  TraitByTrait,
  pq.mat,
  LambdaName,
  NuName,
  fitem
)

Arguments

Master	Current master frame
item.log	Iteration history for the items parameters
Phi.mat	Current estimate of Phi.mat
PersonByItem	Person by item adjacency matrix (same as inData)
npersons	Number of persons
nitems	Number of items
ntraits	Number of traits
ncat	Number of categories
nless	Number of unique lambda and unique nus (ncat-1)
TraitByTrait	TraitsByTrait adjacency matrix (sam as TraitAdj)
pq.mat	One dimensional array for computing rest-scores
LambdaName	Marginal effect names used in formula and item data frame for item regressions
NuName	Scale values names in used in formula and item data frame for item regressions
fitem	Formula for item regression

Value

Master Master data frame up-dated scale values for all items

item.log Iteration history of item parameters where the last row showing results from the current iteration

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