README.md

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

tmle.npvi: Targeted Learning of a Non-Parametric Variable Importance Measure 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.

This package is developed by Pierre Neuvial and Antoine Chambaz.

Introduction

The tmle.npvi() function of the tmle.npvi package is meant to carry out the targeted learning of a nonparametric importance of a continuous exposure.

> library("tmle.npvi")
> example(tmle.npvi)

Refer to the package's vignette for more details.

Citation

To cite the package, see

> citation("tmle.npvi")
> toBibtex(citation("tmle.npvi"))

Installation

A stable version of R package tmle.npvi is available on CRAN. A development version is available via GitHub and can be installed in R as:

source("http://callr.org/install#achambaz/tmle.npvi") 

Software status

| Resource: | GitHub | Travis CI | Appveyor | | ------------- | ------------------- | -------------- | ---------------- | | Platforms: | Multiple | Linux & OS X | Windows | | R CMD check | | | | | Test coverage | | | |

achambaz/tmle.npvi documentation built on May 10, 2019, 5:10 a.m.