d2logL: Second derviative of log-likelihood of 2PL, in theta.
In peterhalpin/cirt: Psychometric models of small group collaborations
Description
Usage
Arguments
Value
Description
Used to compute standard errors simultaneously estimating individual and group assessments.
Usage
1
d2logL(resp, parms, theta, obs = T)
Arguments
resp
a matrix or data.frame containing the binary item responses.
parms
a named list or data.frame with elements parms$alpha and parms$beta corresponding to the discrimination and difficulty parameters of the 2PL model, respectively.
theta
the latent trait.
Value
length(theta)-vecor of (possibly weigthed) log-likelihoods.
peterhalpin/cirt documentation built on May 25, 2019, 1:50 a.m.
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Description Usage Arguments Value
Description
Used to compute standard errors simultaneously estimating individual and group assessments.
Usage
1 | d2logL(resp, parms, theta, obs = T)
|
Arguments
resp |
a matrix or data.frame containing the binary item responses. |
parms |
a named list or data.frame with elements |
theta |
the latent trait. |
Value
length(theta)-vecor of (possibly weigthed) log-likelihoods.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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