prepost
Non-Parametric Bounds and Gibbs Sampler for Assessing Priming and Post-Treatment Bias
A set of tools to implement the non-parametric bounds and Bayesian methods for assessing post-treatment bias developed in Blackwell, Brown, Hill, Imai, and Yamamoto (2025) <doi:10.1017/pan.2025.3>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | prepost_0.3.0.tar.gz |
201.0 KiB |
0.3.0 |
rolling linux/noble R-4.5 | prepost_0.3.0.tar.gz |
200.9 KiB |
0.3.0 |
rolling source/ R- | prepost_0.3.0.tar.gz |
71.8 KiB |
0.3.0 |
latest linux/jammy R-4.5 | prepost_0.3.0.tar.gz |
201.0 KiB |
0.3.0 |
latest linux/noble R-4.5 | prepost_0.3.0.tar.gz |
200.9 KiB |
0.3.0 |
latest source/ R- | prepost_0.3.0.tar.gz |
71.8 KiB |
0.3.0 |
2026-04-26 source/ R- | prepost_0.3.0.tar.gz |
71.8 KiB |
0.3.0 |
2026-04-23 source/ R- | prepost_0.3.0.tar.gz |
71.8 KiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | prepost_0.3.0.zip |
203.9 KiB |