Home‎ > ‎research‎ > ‎

Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives




Supplementary materials for Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives (with Andrew Fullerson)
  • Supplementary Materials at Professor Andrew S. Fullerton's website
  • R codes and additional examples of parallel, partial, and nonparallel models
  • PDF document with annotated R examples (to be added)
  • Bayesian Estimation of Selected Ordered Regression Models (note: you will get slight different results if you use different seeds or don't use seeds since Bayesian estimation is based on simulation)
    • R and rjags (JAGS) codes for Bayesian estimation of the parallel cumulative logit model
    • R and rstan (Stan) codes for Bayesian estimation of the parallel cumulative logit model
    • R and rjags codes for Bayesian estimation of the nonparallel cumulative logit model
    • R and rstan codes for Bayesian estimation of the nonparallel cumulative logit model (to be added)

ċ
ormChapter06ExBayesOrdGoLogJags.r
(8k)
Jun Xu,
Jan 27, 2017, 12:41 PM
ċ
ormChapter06ExBayesOrdLogJags.r
(5k)
Jun Xu,
Oct 19, 2016, 5:16 PM
ċ
ormChapter06ExBayesOrdLogStan.R
(5k)
Jun Xu,
Dec 14, 2016, 3:39 PM
ċ
rExamples-20160830.R
(8k)
Jun Xu,
Aug 30, 2016, 11:24 AM
Comments