Package: experiment 1.2.1
experiment: R Package for Designing and Analyzing Randomized Experiments
Provides various statistical methods for designing and analyzing randomized experiments. One functionality of the package is the implementation of randomized-block and matched-pair designs based on possibly multivariate pre-treatment covariates. The package also provides the tools to analyze various randomized experiments including cluster randomized experiments, two-stage randomized experiments, randomized experiments with noncompliance, and randomized experiments with missing data.
Authors:
experiment_1.2.1.tar.gz
experiment_1.2.1.zip(r-4.5)experiment_1.2.1.zip(r-4.4)experiment_1.2.1.zip(r-4.3)
experiment_1.2.1.tgz(r-4.4-x86_64)experiment_1.2.1.tgz(r-4.4-arm64)experiment_1.2.1.tgz(r-4.3-x86_64)experiment_1.2.1.tgz(r-4.3-arm64)
experiment_1.2.1.tar.gz(r-4.5-noble)experiment_1.2.1.tar.gz(r-4.4-noble)
experiment_1.2.1.tgz(r-4.4-emscripten)experiment_1.2.1.tgz(r-4.3-emscripten)
experiment.pdf |experiment.html✨
experiment/json (API)
# Install 'experiment' in R: |
install.packages('experiment', repos = c('https://kosukeimai.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kosukeimai/experiment/issues
- seguro - Data from the Mexican universal health insurance program, Seguro Popular.
Last updated 3 years agofrom:277bff9e30. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win-x86_64 | OK | Nov 22 2024 |
R-4.5-linux-x86_64 | OK | Nov 22 2024 |
R-4.4-win-x86_64 | OK | Nov 22 2024 |
R-4.4-mac-x86_64 | OK | Nov 22 2024 |
R-4.4-mac-aarch64 | OK | Nov 22 2024 |
R-4.3-win-x86_64 | OK | Nov 22 2024 |
R-4.3-mac-x86_64 | OK | Nov 22 2024 |
R-4.3-mac-aarch64 | OK | Nov 22 2024 |
Exports:ATEboundsATEclusterATEnocovATOPnoassumptionATOPobsATOPsensAUPECCACEclusterCADErandCADEregPAPDPAPErandomize