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: 0.9.3
Depends: R (≥ 2.10), R.utils (≥ 1.4.1)
Imports: R.methodsS3, R.oo, MASS, Matrix, sgeostat, geometry
Suggests: SuperLearner (≥ 2.0), e1071 (≥ 1.5.24), randomForest (≥ 4.5-35), polspline (≥ 1.1.4), gam (≥ 1.03), knitr
Published: 2015-02-06
Author: Antoine Chambaz, Pierre Neuvial
Maintainer: Pierre Neuvial <pierre.neuvial at genopole.cnrs.fr>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Materials: NEWS
CRAN checks: tmle.npvi results

Downloads:

Reference manual: tmle.npvi.pdf
Vignettes: tmle.npvi
Package source: tmle.npvi_0.9.3.tar.gz
Windows binaries: r-devel: tmle.npvi_0.9.3.zip, r-release: tmle.npvi_0.9.3.zip, r-oldrel: tmle.npvi_0.9.3.zip
OS X Snow Leopard binaries: r-release: tmle.npvi_0.9.3.tgz, r-oldrel: tmle.npvi_0.9.3.tgz
OS X Mavericks binaries: r-release: tmle.npvi_0.9.3.tgz
Old sources: tmle.npvi archive