GOptWeight {lazy.irt} | R Documentation |
This program estimates a set of globally optimal item category weights which maximizes the expected test imformation function.
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 )
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 |
Contributed by Dr. Sayaka Arai of DNC.
res1 <- GOptWeight( paramS1 ) weight.df( paramS1,res1 ) res2 <- GOptWeight( paramS2 ) weight.df( paramS2,res2 )