Package: PTE 2.0.1

PTE: Personalized Treatment Evaluator

Provides out-of-sample inference for evaluating whether a pre-specified personalized treatment recommendation model improves outcomes relative to business-as-usual treatment assignment. Supports continuous, binary, and survival endpoints from two-arm randomized trials, cross-validated performance estimates, confidence intervals and hypothesis tests based on the bootstrap, and data-driven selection of the m-out-of-n bootstrap size. Default model-fitting kernels are implemented in C++ through 'Rcpp' for computational efficiency.

Authors:Adam Kapelner [aut, cre, cph], Alina Levine [aut], Justin Bleich [aut]

PTE_2.0.1.tar.gz
PTE_2.0.1.zip(r-4.7-x86_64)PTE_2.0.1.zip(r-4.7-arm64)PTE_2.0.1.zip(r-4.6-x86_64)PTE_2.0.1.zip(r-4.6-arm64)PTE_2.0.1.zip(r-4.5-x86_64)
PTE_2.0.1.tgz(r-4.6-x86_64)PTE_2.0.1.tgz(r-4.6-arm64)PTE_2.0.1.tgz(r-4.5-x86_64)PTE_2.0.1.tgz(r-4.5-arm64)
PTE_2.0.1.tar.gz(r-4.7-arm64)PTE_2.0.1.tar.gz(r-4.7-x86_64)PTE_2.0.1.tar.gz(r-4.6-arm64)PTE_2.0.1.tar.gz(r-4.6-x86_64)
PTE_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PTE/json (API)

# Install 'PTE' in R:
install.packages('PTE', repos = c('https://kapelner.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kapelner/pte/issues

Pkgdown/docs site:https://kapelner.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

personalized medicineprecision medicinepersonalized treatment recommendationsindividualized treatment rulestreatment regimesheterogeneous treatment effectstreatment policy evaluationpolicy value estimationcomparative effectiveness researchcausal inferencerandomized controlled trialsclinical trialsstatistical inferencebootstrap inferencem-out-of-n bootstrapcross-validationsurvival analysisr packagebootstrapcausal-inferenceclinical-trialscomparative-effectivenessheterogeneous-treatment-effectsindividualized-treatment-rulespersonalized-medicinepersonalized-treatmentpolicy-evaluationprecision-medicinerandomized-controlled-trialsstatistical-inferencesurvival-analysistreatment-policy-evaluationtreatment-regimescppopenmp

4.74 score 1 stars 41 scripts 335 downloads 9 mentions 2 exports 29 dependencies

Last updated from:9bcf49ceaf. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK207
linux-devel-x86_64OK275
source / vignettesOK252
linux-release-arm64OK207
linux-release-x86_64OK286
macos-release-arm64OK207
macos-release-x86_64OK367
macos-oldrel-arm64OK193
macos-oldrel-x86_64OK495
windows-devel-arm64OK286
windows-devel-x86_64OK280
windows-release-arm64OK302
windows-release-x86_64OK189
windows-oldrel-x86_64OK243
wasm-releaseOK120

Exports:PTE_bootstrap_inferenceselect_optimal_m_prop

Dependencies:backportscheckmateclicodetoolscpp11doParallelfarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecycleMatrixR6RColorBrewerRcppRcppEigenRcppNumericalrlangS7scalessurvivalvctrsviridisLitewithr