ltmle: Longitudinal Targeted Maximum Likelihood Estimation

Targeted Maximum Likelihood Estimation ('TMLE') of treatment/censoring specific mean outcome or marginal structural model for point-treatment and longitudinal data.

Version: 1.3-0
Depends: R (≥ 3.1.0)
Imports: Matrix, matrixStats
Suggests: SuperLearner, testthat, tmle, knitr, rmarkdown, nnls, arm
Published: 2023-04-15
Author: Joshua Schwab [aut, cre], Samuel Lendle [aut], Maya Petersen [aut], Mark van der Laan [aut], Susan Gruber [ctb]
Maintainer: Joshua Schwab <jschwab77 at berkeley.edu>
BugReports: https://github.com/joshuaschwab/ltmle/issues
License: GPL-2
URL: https://github.com/joshuaschwab/ltmle, http://joshuaschwab.github.io/ltmle/
NeedsCompilation: no
Citation: ltmle citation info
Materials: README NEWS
In views: CausalInference
CRAN checks: ltmle results

Documentation:

Reference manual: ltmle.pdf

Downloads:

Package source: ltmle_1.3-0.tar.gz
Windows binaries: r-devel: ltmle_1.3-0.zip, r-release: ltmle_1.3-0.zip, r-oldrel: ltmle_1.3-0.zip
macOS binaries: r-release (arm64): ltmle_1.3-0.tgz, r-oldrel (arm64): ltmle_1.3-0.tgz, r-release (x86_64): ltmle_1.3-0.tgz
Old sources: ltmle archive

Reverse dependencies:

Reverse suggests: simcausal

Linking:

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