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
c.weight	A vector of item category weights: v
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

Author(s)

Contributed by Dr. Sayaka Arai of DNC.

Examples

res1 <- GOptWeight( paramS1 )
create_weight_df( paramS1, vvec=res1 )

res2 <- GOptWeight( paramS2 )
create_weight_df( paramS2, vvec=res2 )

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