pogit
Bayesian Variable Selection for a Poisson-Logistic Model
Bayesian variable selection for regression models of under-reported count data as well as for (overdispersed) Poisson, negative binomal and binomial logit regression models using spike and slab priors.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.0 |
rolling linux/jammy R-4.5 | pogit_1.3.0.tar.gz |
330.6 KiB |
1.3.0 |
rolling linux/noble R-4.5 | pogit_1.3.0.tar.gz |
330.5 KiB |
1.3.0 |
rolling source/ R- | pogit_1.3.0.tar.gz |
104.0 KiB |
1.3.0 |
latest linux/jammy R-4.5 | pogit_1.3.0.tar.gz |
330.6 KiB |
1.3.0 |
latest linux/noble R-4.5 | pogit_1.3.0.tar.gz |
330.5 KiB |
1.3.0 |
latest source/ R- | pogit_1.3.0.tar.gz |
104.0 KiB |
1.3.0 |
2026-04-26 source/ R- | pogit_1.3.0.tar.gz |
104.0 KiB |
1.3.0 |
2026-04-23 source/ R- | pogit_1.3.0.tar.gz |
104.0 KiB |
1.3.0 |
2026-04-09 windows/windows R-4.5 | pogit_1.3.0.zip |
333.6 KiB |
1.3.0 |
2025-04-20 source/ R- | pogit_1.3.0.tar.gz |
104.0 KiB |