Package: mvord 1.2.5
Laura Vana
mvord: Multivariate Ordinal Regression Models
A flexible framework for fitting multivariate ordinal regression models with composite likelihood methods. Methodological details are given in Hirk, Hornik, Vana (2020) <doi:10.18637/jss.v093.i04>.
Authors:
mvord_1.2.5.tar.gz
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mvord.pdf |mvord.html✨
mvord/json (API)
NEWS
# Install 'mvord' in R: |
install.packages('mvord', repos = c('https://lauravana.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lauravana/mvord/issues
- data_cr - Simulated credit ratings
- data_cr_panel - Simulated panel of credit ratings
- data_mvord - Simulated credit ratings
- data_mvord2 - Simulated credit ratings
- data_mvord_panel - Simulated panel of credit ratings
- data_mvord_toy - Data set toy example
- essay_data - Essay data
Last updated 2 months agofrom:cc28991f52. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win-x86_64 | OK | Nov 12 2024 |
R-4.5-linux-x86_64 | OK | Nov 12 2024 |
R-4.4-win-x86_64 | OK | Nov 12 2024 |
R-4.4-mac-x86_64 | OK | Nov 12 2024 |
R-4.4-mac-aarch64 | OK | Nov 12 2024 |
R-4.3-win-x86_64 | OK | Nov 12 2024 |
R-4.3-mac-x86_64 | OK | Nov 12 2024 |
R-4.3-mac-aarch64 | OK | Nov 12 2024 |
Exports:constraintscor_ar1cor_equicor_generalcov_generalerror_structurejoint_probabilitiesmarginal_predictmvlogitmvordmvord.controlmvprobitnames_constraintspolycorpseudo_R_squaredthresholds
Dependencies:BBdfoptimlatticeMASSMatrixminqamnormtmvtnormnloptrnumDerivoptimxpbivnormpracmaquadprogRcppucminf
mvord: Additional examples
Rendered fromvignette_mvord2.Rmd
usingknitr::rmarkdown
on Nov 12 2024.Last update: 2024-08-30
Started: 2022-02-20
mvord: An R Package for Fitting Multivariate Ordinal Regression Models
Rendered fromvignette_mvord.Rnw
usingutils::Sweave
on Nov 12 2024.Last update: 2024-08-30
Started: 2022-02-20