bdlim
Bayesian Distributed Lag Interaction Models
Estimation and interpretation of Bayesian distributed lag interaction models (BDLIMs). A BDLIM regresses a scalar outcome on repeated measures of exposure and allows for modification by a categorical variable under four specific patterns of modification. The main function is bdlim(). There are also summary and plotting files. Details on methodology are described in Wilson et al. (2017) <doi:10.1093/biostatistics/kxx002>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.0 |
rolling linux/jammy R-4.5 | bdlim_0.5.0.tar.gz |
1.4 MiB |
0.5.0 |
rolling linux/noble R-4.5 | bdlim_0.5.0.tar.gz |
1.4 MiB |
0.5.0 |
rolling source/ R- | bdlim_0.5.0.tar.gz |
1.3 MiB |
0.5.0 |
latest linux/jammy R-4.5 | bdlim_0.5.0.tar.gz |
1.4 MiB |
0.5.0 |
latest linux/noble R-4.5 | bdlim_0.5.0.tar.gz |
1.4 MiB |
0.5.0 |
latest source/ R- | bdlim_0.5.0.tar.gz |
1.3 MiB |
0.5.0 |
2026-04-26 source/ R- | bdlim_0.5.0.tar.gz |
1.3 MiB |
0.5.0 |
2026-04-23 source/ R- | bdlim_0.5.0.tar.gz |
1.3 MiB |
0.5.0 |
2026-04-09 windows/windows R-4.5 | bdlim_0.5.0.zip |
1.4 MiB |
0.4.2 |
2025-04-20 source/ R- | bdlim_0.4.2.tar.gz |
1.3 MiB |