Description Usage Arguments Details Value Author(s) References
Approximate the marginal log-likelihood of a Rasch regression model using Laplace approximation.
1 | raschreglikLA(par, X, Z, fixed = NULL)
|
par |
Numeric vector of parameters (length J+p). |
X |
Item matrix (J columns) containing only zeroes and ones. |
Z |
Regression matrix (p columns). |
fixed |
Optional numeric vector (length J). If supplied, only NA entries in fixed will be estimated. |
Uses two Rcpp compiled functions: huc
and raschreglik
Returns the value of the marginal log-likelihood evaluated at par
.
Fernando Massa, fmassa@iesta.edu.uy
azevedo1994raschreg
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