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:Rainer Hirk [aut], Kurt Hornik [aut], Laura Vana [aut, cre], Alan Gentz [ctb]

mvord_1.2.5.tar.gz
mvord_1.2.5.zip(r-4.5)mvord_1.2.5.zip(r-4.4)mvord_1.2.5.zip(r-4.3)
mvord_1.2.5.tgz(r-4.4-x86_64)mvord_1.2.5.tgz(r-4.4-arm64)mvord_1.2.5.tgz(r-4.3-x86_64)mvord_1.2.5.tgz(r-4.3-arm64)
mvord_1.2.5.tar.gz(r-4.5-noble)mvord_1.2.5.tar.gz(r-4.4-noble)
mvord_1.2.5.tgz(r-4.4-emscripten)mvord_1.2.5.tgz(r-4.3-emscripten)
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'))

Peer review:

Bug tracker:https://github.com/lauravana/mvord/issues

Datasets:

On CRAN:

6.49 score 3 stars 32 scripts 464 downloads 2 mentions 16 exports 16 dependencies

Last updated 2 months agofrom:cc28991f52. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-win-x86_64OKNov 12 2024
R-4.5-linux-x86_64OKNov 12 2024
R-4.4-win-x86_64OKNov 12 2024
R-4.4-mac-x86_64OKNov 12 2024
R-4.4-mac-aarch64OKNov 12 2024
R-4.3-win-x86_64OKNov 12 2024
R-4.3-mac-x86_64OKNov 12 2024
R-4.3-mac-aarch64OKNov 12 2024

Exports:constraintscor_ar1cor_equicor_generalcov_generalerror_structurejoint_probabilitiesmarginal_predictmvlogitmvordmvord.controlmvprobitnames_constraintspolycorpseudo_R_squaredthresholds

Dependencies:BBdfoptimlatticeMASSMatrixminqamnormtmvtnormnloptrnumDerivoptimxpbivnormpracmaquadprogRcppucminf

mvord: Additional examples

Rendered fromvignette_mvord2.Rmdusingknitr::rmarkdownon 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.Rnwusingutils::Sweaveon Nov 12 2024.

Last update: 2024-08-30
Started: 2022-02-20

Readme and manuals

Help Manual

Help pageTopics
Multivariate Ordinal Regression Models in R.mvord-package
Coefficients of Multivariate Ordinal Regression Models.coef.mvord
Constraints on the Regression Coefficients of Multivariate Ordinal Regression Models.constraints constraints.mvord
Simulated credit ratingsdata_cr
Simulated panel of credit ratingsdata_cr_panel
Simulated credit ratingsdata_mvord
Simulated panel of credit ratingsdata_mvord_panel
Data set toy exampledata_mvord_toy
Simulated credit ratingsdata_mvord2
Error Structures in mvordcor_ar1 cor_equi cor_general cov_general error_struct
Extracts Error Structure of Multivariate Ordinal Regression Models.error_structure error_structure.mvord
Essay dataessay_data
Fitted Probabilities of Multivariate Ordinal Regression Models.fitted.mvord
Fitted probabilities for multivariate ordinal regression models for given response categories.joint_probabilities
Pairwise Log-Likelihood of Multivariate Ordinal Regression Models.logLik.mvord
Marginal Predictions for Multivariate Ordinal Regression Models.marginal_predict
model.matrix of Multivariate Ordinal Regression Models.model.matrix.mvord
Multivariate link functions in mvordmvlinks mvlogit mvprobit
Multivariate Ordinal Regression Models.mvord
Control functions for mvord()mvord.control
Names of regression coefficient constraints in mvordnames_constraints
nobs of Multivariate Ordinal Regression Models.nobs.mvord
Computes polychoric correlationspolycor
Predict method for Multivariate Ordinal Regression Models.predict.mvord
Print Method for class error_struc.print.error_struct
Print Method for Multivariate Ordinal Regression Models.print.mvord
Pseudo R^2 for objects of class 'mvord'pseudo_R_squared
Summary method for Multivariate Ordinal Regression Models.summary.mvord
terms of Multivariate Ordinal Regression Models.terms.mvord
Thresholds of Multivariate Ordinal Regression Models.thresholds thresholds.mvord
vcov of Multivariate Ordinal Regression Models.vcov.mvord