cbq
Conditional Binary Quantile Models
Estimates conditional binary quantile models developed by Lu (2020) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0.4 |
rolling linux/jammy R-4.5 | cbq_0.2.0.4.tar.gz |
3.8 MiB |
0.2.0.4 |
rolling linux/noble R-4.5 | cbq_0.2.0.4.tar.gz |
3.9 MiB |
0.2.0.4 |
rolling source/ R- | cbq_0.2.0.4.tar.gz |
60.6 KiB |
0.2.0.4 |
latest linux/jammy R-4.5 | cbq_0.2.0.4.tar.gz |
3.8 MiB |
0.2.0.4 |
latest linux/noble R-4.5 | cbq_0.2.0.4.tar.gz |
3.9 MiB |
0.2.0.4 |
latest source/ R- | cbq_0.2.0.4.tar.gz |
60.6 KiB |
0.2.0.4 |
2026-04-26 source/ R- | cbq_0.2.0.4.tar.gz |
60.6 KiB |
0.2.0.4 |
2026-04-23 source/ R- | cbq_0.2.0.4.tar.gz |
60.6 KiB |
0.2.0.4 |
2026-04-09 windows/windows R-4.5 | cbq_0.2.0.4.zip |
3.2 MiB |
0.2.0.4 |
2025-04-20 source/ R- | cbq_0.2.0.4.tar.gz |
60.6 KiB |
Dependencies (latest)
Imports
- methods
- Formula
- Rcpp (>= 0.12.0)
- rstan (>= 2.18.1)
- rstantools (>= 2.0.0)
LinkingTo
- BH (>= 1.66.0)
- Rcpp (>= 0.12.0)
- RcppEigen (>= 0.3.3.3.0)
- rstan (>= 2.18.1)
- StanHeaders (>= 2.18.0)