GOptWeight {lazy.irt}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.irt version 0.1.3 Index]