| fisherInf {catSurv} | R Documentation |
Fisher's Information
Description
Calculates the expected value of the observed information of the likelihood evaluated at the input value \theta.
Usage
fisherInf(catObj, theta, item)
Arguments
catObj |
An object of class |
theta |
A numeric or an integer indicating the potential value for |
item |
An integer indicating the index of the question item |
Details
For the dichotomous case, this Fisher's information is equivalent to the observed information.
Value
The function fisherInf returns a numeric of the expected value of the observed information of the likelihood evaluated at the input value \theta.
Note
This function is to allow users to access the internal functions of the package. During item selection, all calculations are done in compiled C++ code.
Author(s)
Haley Acevedo, Ryden Butler, Josh W. Cutler, Matt Malis, Jacob M. Montgomery, Tom Wilkinson, Erin Rossiter, Min Hee Seo, Alex Weil
See Also
fisherTestInfo, obsInf, selectItem
Examples
## Loading ltm Cat object
data(ltm_cat)
## Store example answers
setAnswers(ltm_cat) <- c(1,0,1,0,1, rep(NA, 35))
## Fisher's information for different items, at ability parameter of 1
fisherInf(ltm_cat, theta = 1, item = 10)
fisherInf(ltm_cat, theta = 1, item = 20)