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: 1.2-0
Depends: R (≥ 3.1.0)
Imports: Matrix, matrixStats, speedglm
Suggests: SuperLearner, testthat, tmle, knitr, rmarkdown, nnls, arm
Published: 2020-03-13
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
NeedsCompilation: no
Citation: ltmle citation info
Materials: README NEWS
CRAN checks: ltmle results

Downloads:

Reference manual: ltmle.pdf
Vignettes: Deterministic Functions
ltmle package overview
Marginal Structural Models - ltmleMSM()
Introduction to ltmle()
Package source: ltmle_1.2-0.tar.gz
Windows binaries: r-devel: ltmle_1.2-0.zip, r-devel-gcc8: ltmle_1.2-0.zip, r-release: ltmle_1.2-0.zip, r-oldrel: ltmle_1.2-0.zip
OS X binaries: r-release: ltmle_1.2-0.tgz, r-oldrel: ltmle_1.2-0.tgz
Old sources: ltmle archive

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