Package: ctmle 0.1.2
ctmle: Collaborative Targeted Maximum Likelihood Estimation
Implements the general template for collaborative targeted maximum likelihood estimation. It also provides several commonly used C-TMLE instantiation, like the vanilla/scalable variable-selection C-TMLE (Ju et al. (2017) <doi:10.1177/0962280217729845>) and the glmnet-C-TMLE algorithm (Ju et al. (2017) <arxiv:1706.10029>).
Authors:
ctmle_0.1.2.tar.gz
ctmle_0.1.2.zip(r-4.5)ctmle_0.1.2.zip(r-4.4)ctmle_0.1.2.zip(r-4.3)
ctmle_0.1.2.tgz(r-4.4-any)ctmle_0.1.2.tgz(r-4.3-any)
ctmle_0.1.2.tar.gz(r-4.5-noble)ctmle_0.1.2.tar.gz(r-4.4-noble)
ctmle_0.1.2.tgz(r-4.4-emscripten)ctmle_0.1.2.tgz(r-4.3-emscripten)
ctmle.pdf |ctmle.html✨
ctmle/json (API)
# Install 'ctmle' in R: |
install.packages('ctmle', repos = c('https://jucheng1992.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jucheng1992/ctmle/issues
causal-inferencemachine-learningstatisticstmle
Last updated 5 years agofrom:18de559f47. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:boundbuild_gn_seqctmleDiscretectmleGeneralctmleGlmnet
Dependencies:bitopscaToolscodetoolscvAUCdata.tableforeachgamglmnetgplotsgtoolsiteratorsKernSmoothlatticeMatrixnnlsRcppRcppEigenROCRshapeSuperLearnersurvivaltmle