README.md

In achambaz/tsml.cara.rct: Targeted Sequential Minimum Loss CARA RCT Design and Inference

tsml.cara.rct: Simulating targeted sequential design and inference

Introduction

The tsml.cara.rct() function of the tsml.cara.rct package is meant to simulate easily the sampling from a targeted sequential design and the targeted (data-adaptive) inference of the Average Treatment Effect (ATE) or Mean of the Optimal treatment Rule (MOR) based on accrued data.

> library("tsml.cara.rct")
> example(tsml.cara.rct)

Refer to the package's vignette for more details.

Citation

To cite the package, see

> citation("tsml.cara.rct")
> toBibtex(citation("tsml.cara.rct"))

Installation

R package tsml.cara.rct is only available via GitHub and can be installed in R as:

source("http://callr.org/install#achambaz/tsml.cara.rct") 

Software status

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

achambaz/tsml.cara.rct documentation built on May 10, 2019, 5:10 a.m.