tmle.npvi

Package: tmle.npvi
Type: Package
Title: Targeted Learning of a NP Importance of a Continuous Exposure
Version: 0.10.0
Date: 2015-05-13
Author: Antoine Chambaz, Pierre Neuvial
Maintainer: Pierre Neuvial <pierre.neuvial@genopole.cnrs.fr>
Description: 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.
License: GPL
LazyLoad: yes
LazyData: yes
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
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2015-05-22 11:40:49 UTC; pneuvial
Repository: CRAN
Date/Publication: 2015-05-22 18:59:02

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'tmle.npvi' ...
** package 'tmle.npvi' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'tmle.npvi'
    finding HTML links ... done
    SL.glm.condExpX2givenW                  html  
    SL.glm.condExpXYgivenW                  html  
    SL.glm.g                                html  
    SL.glm.theta                            html  
    as.character.NPVI                       html  
    extractW                                html  
    extractXW                               html  
    getHistory.NPVI                         html  
    getLightFit                             html  
    getObs.NPVI                             html  
    getPValue.NPVI                          html  
    getPValue.matrix                        html  
    getPsi.NPVI                             html  
    getPsiSd.NPVI                           html  
    getSample                               html  
    learnCondExpX2givenW                    html  
    learnCondExpXYgivenW                    html  
    learnDevG                               html  
    learnDevMu                              html  
    learnDevTheta                           html  
    learnG                                  html  
    learnMuAux                              html  
    learnTheta                              html  
    learningLib                             html  
    predict.SL.glm.condExpX2givenW          html  
    predict.SL.glm.condExpXYgivenW          html  
    predict.SL.glm.g                        html  
    predict.SL.glm.theta                    html  
    setConfLevel.NPVI                       html  
    superLearningLib                        html  
    tcga2012brca                            html  
    tmle.npvi.                              html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (tmle.npvi)
Making 'packages.html' ... done