tmle.npvi: Targeted Learning of a NP Importance of a Continuous Exposure

Targeted minimum loss estimation (TMLE) of a non-parametric variable importance measure of a continuous exposure 'X' on an outcome 'Y', taking baseline covariates 'W' into account.

Version: 0.10.0
Depends: R (≥ 2.10), R.utils (≥ 1.4.1)
Imports: R.methodsS3, R.oo, MASS, Matrix, geometry
Suggests: SuperLearner (≥ 2.0), e1071 (≥ 1.5.24), randomForest (≥ 4.5-35), polspline (≥ 1.1.4), gam (≥ 1.03), knitr
Published: 2015-05-22
Author: Antoine Chambaz, Pierre Neuvial
Maintainer: Pierre Neuvial <pierre.neuvial at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Citation: tmle.npvi citation info
Materials: NEWS
CRAN checks: tmle.npvi results


Reference manual: tmle.npvi.pdf
Vignettes: tmle.npvi
Package source: tmle.npvi_0.10.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: tmle.npvi_0.10.0.tgz, r-oldrel: tmle.npvi_0.10.0.tgz
Old sources: tmle.npvi archive


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