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:Cheng Ju [aut, cre], Susan Gruber [aut], Richard Wyss [ctb], Jenny Haggstrom [ctb], Mark van der Laan [aut, ths]

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'))

Peer review:

Bug tracker:https://github.com/jucheng1992/ctmle/issues

On CRAN:

causal-inferencemachine-learningstatisticstmle

5 exports 5 stars 1.18 score 22 dependencies 27 scripts 185 downloads

Last updated 5 years agofrom:18de559f47. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winOKSep 01 2024
R-4.5-linuxOKSep 01 2024
R-4.4-winOKSep 01 2024
R-4.4-macOKSep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

Exports:boundbuild_gn_seqctmleDiscretectmleGeneralctmleGlmnet

Dependencies:bitopscaToolscodetoolscvAUCdata.tableforeachgamglmnetgplotsgtoolsiteratorsKernSmoothlatticeMatrixnnlsRcppRcppEigenROCRshapeSuperLearnersurvivaltmle

CTMLE Vignette

Rendered fromvignette.Rmdusingknitr::rmarkdownon Sep 01 2024.

Last update: 2019-11-18
Started: 2017-03-17