noncomplyR
Bayesian Analysis of Randomized Experiments with Non-Compliance
Functions for Bayesian analysis of data from randomized experiments with non-compliance. The functions are based on the models described in Imbens and Rubin (1997) <doi:10.1214/aos/1034276631>. Currently only two types of outcome models are supported: binary outcomes and normally distributed outcomes. Models can be fit with and without the exclusion restriction and/or the strong access monotonicity assumption. Models are fit using the data augmentation algorithm as described in Tanner and Wong (1987) <doi:10.2307/2289457>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | noncomplyR_1.0.tar.gz |
58.4 KiB |
1.0 |
rolling linux/noble R-4.5 | noncomplyR_1.0.tar.gz |
58.4 KiB |
1.0 |
rolling source/ R- | noncomplyR_1.0.tar.gz |
76.2 KiB |
1.0 |
latest linux/jammy R-4.5 | noncomplyR_1.0.tar.gz |
58.4 KiB |
1.0 |
latest linux/noble R-4.5 | noncomplyR_1.0.tar.gz |
58.4 KiB |
1.0 |
latest source/ R- | noncomplyR_1.0.tar.gz |
76.2 KiB |
1.0 |
2026-04-26 source/ R- | noncomplyR_1.0.tar.gz |
76.2 KiB |
1.0 |
2026-04-23 source/ R- | noncomplyR_1.0.tar.gz |
76.2 KiB |
1.0 |
2026-04-09 windows/windows R-4.5 | noncomplyR_1.0.zip |
64.3 KiB |
1.0 |
2025-04-20 source/ R- | noncomplyR_1.0.tar.gz |
76.2 KiB |