Package: TwoPhaseInd 1.1.2
James Dai
TwoPhaseInd: Estimate Gene-Treatment Interaction Exploiting Randomization
Estimation of gene-treatment interactions in randomized clinical trials exploiting gene-treatment independence. Methods used in the package refer to J. Y. Dai, M. LeBlanc, and C. Kooperberg (2009) Biometrics <doi:10.1111/j.1541-0420.2008.01046.x>.
Authors:
TwoPhaseInd_1.1.2.tar.gz
TwoPhaseInd_1.1.2.tar.gz(r-4.5-noble)TwoPhaseInd_1.1.2.tar.gz(r-4.4-noble)
TwoPhaseInd_1.1.2.tgz(r-4.4-emscripten)TwoPhaseInd_1.1.2.tgz(r-4.3-emscripten)
TwoPhaseInd.pdf |TwoPhaseInd.html✨
TwoPhaseInd/json (API)
# Install 'TwoPhaseInd' in R: |
install.packages('TwoPhaseInd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- acodata - A dataset from the STEP trial to study the interactions between gene and vaccine on HIV infection
- whiBioMarker - An example dataset to demostrate the usage of MELE and SPMLE
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:d4627e4739. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 24 2024 |
R-4.5-linux-x86_64 | OK | Oct 24 2024 |
Exports:aco1armaco2armacoarmcaseonlychar2nummeleremove_missingdataremove_rarevariantsspmle