Split the Dataset | Specify Variable Roles | On the Development Dataset, Build the Treatment Rule | On the Validation Dataset, Perform Model Selection | On the Evaluation Dataset, Evaluate the Selected Rules | References
Package: DevTreatRules 1.1.0
Jeremy Roth
DevTreatRules: Develop Treatment Rules with Observational Data
Develop and evaluate treatment rules based on: (1) the standard indirect approach of split-regression, which fits regressions separately in both treatment groups and assigns an individual to the treatment option under which predicted outcome is more desirable; (2) the direct approach of outcome-weighted-learning proposed by Yingqi Zhao, Donglin Zeng, A. John Rush, and Michael Kosorok (2012) <doi:10.1080/01621459.2012.695674>; (3) the direct approach, which we refer to as direct-interactions, proposed by Shuai Chen, Lu Tian, Tianxi Cai, and Menggang Yu (2017) <doi:10.1111/biom.12676>. Please see the vignette for a walk-through of how to start with an observational dataset whose design is understood scientifically and end up with a treatment rule that is trustworthy statistically, along with an estimation of rule benefit in an independent sample.
Authors:
DevTreatRules_1.1.0.tar.gz
DevTreatRules_1.1.0.tar.gz(r-4.7-any)DevTreatRules_1.1.0.tar.gz(r-4.6-any)
DevTreatRules_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DevTreatRules/json (API)
| # Install 'DevTreatRules' in R: |
| install.packages('DevTreatRules', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- obsStudyGeneExpressions - Simulated dataset for package 'DevTreatRule'
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:97f7d1442d. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 526 | ||
| source / vignettes | OK | 182 | ||
| linux-release-x86_64 | OK | 149 | ||
| wasm-release | OK | 109 |
Exports:BuildRuleCompareRulesOnValidationEvaluateRulePredictRuleSplitData
Dependencies:codetoolsdfoptimDynTxRegimeforeachglmnetiteratorskernlablatticeMatrixmodelObjRcppRcppEigenrgenoudshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Build a Treatment Rule | BuildRule |
| Build treatment rules on a development dataset and evaluate performance on an independent validation dataset | CompareRulesOnValidation |
| Evaluate a Treatment Rule | EvaluateRule |
| Simulated dataset for package 'DevTreatRule' | obsStudyGeneExpressions |
| Get the treatment rule implied by 'BuildRule()' | PredictRule |
| Partition a dataset into independent subsets | SplitData |