R: Estimation of the Globally Optimal Item Category Weights

GOptWeight {lazy.irtx}

R Documentation

Estimation of the Globally Optimal Item Category Weights

Description

This program estimates a set of globally optimal item category weights which maximizes the expected test imformation function.

Usage

GOptWeight(param, i.weight = NULL, c.weight = NULL, npoints = 31,
  thmin = -4, thmax = 4, th.m = 0, th.sd = 1, method = "nlm",
  L = 100, eps = 1e-06, print = 0)

Arguments

`param`	Item paramter data frame
`i.weight`	A vector of item weights: w
`npoints`	# of discrete theta points
`thmin`	Minimum value of theta points
`thmax`	Maximum value of theta points
`th.m`	Mean of theta dist
`th.sd`	Standard deviation of theta dist
`method`	= "nlm"
`L`	max # of iterations
`eps`	eps for gradient
`print`	= 1 to print result
`c.weigth`	A vector of item category weights: v

Author(s)

Contributed by Dr. Sayaka Arai of DNC.

Examples

res1 <- GOptWeight( paramS1 )
weight.df( paramS1,res1 )

res2 <- GOptWeight( paramS2 )
weight.df( paramS2,res2 )

[Package lazy.irtx version 1.0.1 Index]