N: Multiplier for second deriviative of log-likelihood of 2PL.
In peterhalpin/BearShare: Psychometric models of small group collaborations
Description
Usage
Arguments
Value
Description
Similar to M, but for the second derivatives. Called by functions that compute second derivative of the log-likelihood.
Usage
1
N(resp, parms, theta, obs = F)
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.
obs
logical: should the observed value be returned? If not, the expected value is returned.
Value
dim(resp)-matrix of multipliers.
peterhalpin/BearShare documentation built on May 25, 2019, 12:48 a.m.
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Description Usage Arguments Value
Description
Similar to M, but for the second derivatives. Called by functions that compute second derivative of the log-likelihood.
Usage
1 | N(resp, parms, theta, obs = F)
|
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. |
obs |
logical: should the observed value be returned? If not, the expected value is returned. |
Value
dim(resp)-matrix of multipliers.
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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