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-4.7)ctmle_0.1.2.zip(r-4.6)ctmle_0.1.2.zip(r-4.5)
ctmle_0.1.2.tgz(r-4.6-any)ctmle_0.1.2.tgz(r-4.5-any)
ctmle_0.1.2.tar.gz(r-4.7-any)ctmle_0.1.2.tar.gz(r-4.6-any)
ctmle_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

Conda:

causal-inferencemachine-learningstatisticstmle

4.85 score 5 stars 28 scripts 255 downloads 5 exports 22 dependencies

Last updated from:18de559f47. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK173
source / vignettesOK221
linux-release-x86_64OK181
macos-release-arm64OK173
macos-oldrel-arm64OK199
windows-develOK176
windows-releaseOK212
windows-oldrelOK122
wasm-releaseOK100

Exports:boundbuild_gn_seqctmleDiscretectmleGeneralctmleGlmnet

Dependencies:bitopscaToolscodetoolscvAUCdata.tableforeachgamglmnetgplotsgtoolsiteratorsKernSmoothlatticeMatrixnnlsRcppRcppEigenROCRshapeSuperLearnersurvivaltmle

CTMLE Vignette

Cheng Ju

Rendered fromvignette.Rmdusingknitr::rmarkdownon May 06 2026.

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