cold
Count Longitudinal Data
Performs regression analysis for longitudinal count data, allowing for serial dependence among observations from a given individual and two dimensional random effects on the linear predictor. Estimation is via maximization of the exact likelihood of a suitably defined model. Missing values and unbalanced data are allowed. Details can be found in the accompanying scientific papers: Goncalves & Cabral (2021, Journal of Statistical Software, <doi:10.18637/jss.v099.i03>) and Goncalves et al. (2007, Computational Statistics & Data Analysis, <doi:10.1016/j.csda.2007.03.002>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0-3 |
rolling linux/jammy R-4.5 | cold_2.0-3.tar.gz |
467.3 KiB |
2.0-3 |
rolling linux/noble R-4.5 | cold_2.0-3.tar.gz |
467.1 KiB |
2.0-3 |
rolling source/ R- | cold_2.0-3.tar.gz |
81.4 KiB |
2.0-3 |
latest linux/jammy R-4.5 | cold_2.0-3.tar.gz |
467.3 KiB |
2.0-3 |
latest linux/noble R-4.5 | cold_2.0-3.tar.gz |
467.1 KiB |
2.0-3 |
latest source/ R- | cold_2.0-3.tar.gz |
81.4 KiB |
2.0-3 |
2026-04-26 source/ R- | cold_2.0-3.tar.gz |
81.4 KiB |
2.0-3 |
2026-04-23 source/ R- | cold_2.0-3.tar.gz |
81.4 KiB |
2.0-3 |
2026-04-09 windows/windows R-4.5 | cold_2.0-3.zip |
476.2 KiB |
2.0-3 |
2025-04-20 source/ R- | cold_2.0-3.tar.gz |
81.4 KiB |