Data: vitaminA | Step 1: Fit model with compliance_chain | Step 2: Transform the fitted model into a sample from the posterior of the CACE with cace | Step 3: Obtain summary statistics with summarize_chain | Model Details | References
Package: noncomplyR 1.0
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>.
Authors:
noncomplyR_1.0.tar.gz
noncomplyR_1.0.zip(r-4.7)noncomplyR_1.0.zip(r-4.6)noncomplyR_1.0.zip(r-4.5)
noncomplyR_1.0.tgz(r-4.6-any)noncomplyR_1.0.tgz(r-4.5-any)
noncomplyR_1.0.tar.gz(r-4.7-any)noncomplyR_1.0.tar.gz(r-4.6-any)
noncomplyR_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
noncomplyR/json (API)
| # Install 'noncomplyR' in R: |
| install.packages('noncomplyR', repos = c('https://sscogges.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- vitaminA - Vitamin A Randomized Trial Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1a9f8c2b42. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 153 | ||
| linux-release-x86_64 | OK | 121 | ||
| macos-release-arm64 | OK | 164 | ||
| macos-oldrel-arm64 | OK | 137 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 91 | ||
| windows-oldrel | OK | 109 | ||
| wasm-release | OK | 109 |
Exports:cacecompliance_chainsummarize_chain
Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute the Posterior Distribution of the CACE | cace |
| Data Augmentation for Non-compliance analysis | compliance_chain |
| noncomplyR | noncomplyR-package noncomplyR |
| Posterior Inference based on a Sample from the Posterior | summarize_chain |
| Vitamin A Randomized Trial Data Set | vitaminA |
