PLordprob
Multivariate Ordered Probit Model via Pairwise Likelihood
Multivariate ordered probit model, i.e. the extension of the scalar ordered probit model where the observed variables have dimension greater than one. Estimation of the parameters is done via maximization of the pairwise likelihood, a special case of the composite likelihood obtained as product of bivariate marginal distributions. The package uses the Fortran 77 subroutine SADMVN by Alan Genz, with minor adaptations made by Adelchi Azzalini in his "mvnormt" package for evaluating the two-dimensional Gaussian integrals involved in the pairwise log-likelihood. Optimization of the latter objective function is performed via quasi-Newton box-constrained optimization algorithm, as implemented in nlminb.
- Version1.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release06/05/2018
Team
Euloge Clovis Kenne Pagui
Antonio Canale
Show author detailsRolesAuthorAdelchi Azzalini
Show author detailsRolesContributorAlan Genz
Show author detailsRolesContributor
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- Depends1 package