Package: PLordprob 1.1

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.

Authors:Euloge Clovis Kenne Pagui [aut,cre], Antonio Canale [aut], Alan Genz [ctb], Adelchi Azzalini [ctb]

PLordprob_1.1.tar.gz
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PLordprob_1.1.tgz(r-4.4-x86_64)PLordprob_1.1.tgz(r-4.4-arm64)PLordprob_1.1.tgz(r-4.3-x86_64)PLordprob_1.1.tgz(r-4.3-arm64)
PLordprob_1.1.tar.gz(r-4.5-noble)PLordprob_1.1.tar.gz(r-4.4-noble)
PLordprob_1.1.tgz(r-4.4-emscripten)PLordprob_1.1.tgz(r-4.3-emscripten)
PLordprob.pdf |PLordprob.html
PLordprob/json (API)

# Install 'PLordprob' in R:
install.packages('PLordprob', repos = c('https://eulogepagui.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 113 downloads 3 exports 1 dependencies

Last updated 6 years agofrom:be3d8d8358. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64NOTENov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024
R-4.4-win-x86_64NOTENov 06 2024
R-4.4-mac-x86_64NOTENov 06 2024
R-4.4-mac-aarch64NOTENov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:a2deltadelta2aordprob.mple

Dependencies:mnormt