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 genopole.cnrs.fr> |
| 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: tmle.npvi_0.10.0.zip, r-release: tmle.npvi_0.10.0.zip, r-oldrel: tmle.npvi_0.10.0.zip |
| macOS 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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