irt2preglikLA: Two Parameter Logistic Regression Model Marginal...
In nando11235813/raschreg: Item Response Theory models including explanatory variables of the ability parameter
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Description
Approximation of the marginal log-likelihood of the 2 parameter logistic regression model using the Laplace approximation.
Usage
1
irt2preglikLA(par, X, Z)
Arguments
par
Numeric vector of parameters (length 2*J + p).
X
Item matrix (J columns) containing only zeroes and ones.
Z
Regression matrix (p columns).
Details
Uses two Rcpp compiled functions: huc and raschreglik
Value
Returns the value of the marginal log-likelihood evaluated at par
Author(s)
Fernando Massa, fmassa@iesta.edu.uy
References
\insertRefazevedo1994raschreg
See Also
raschlikLA, raschdlikLA, raschreglikLA, raschdreglikLA, irt2plikLA, irt2preglikLA
nando11235813/raschreg documentation built on Oct. 2, 2021, 3:11 p.m.
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Description Usage Arguments Details Value Author(s) References See Also
Description
Approximation of the marginal log-likelihood of the 2 parameter logistic regression model using the Laplace approximation.
Usage
1 | irt2preglikLA(par, X, Z)
|
Arguments
par |
Numeric vector of parameters (length 2*J + p). |
X |
Item matrix (J columns) containing only zeroes and ones. |
Z |
Regression matrix (p columns). |
Details
Uses two Rcpp compiled functions: huc and raschreglik
Value
Returns the value of the marginal log-likelihood evaluated at par
Author(s)
Fernando Massa, fmassa@iesta.edu.uy
References
\insertRefazevedo1994raschreg
See Also
raschlikLA, raschdlikLA, raschreglikLA, raschdreglikLA, irt2plikLA, irt2preglikLA
R Package Documentation
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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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