Package: quantoptr 0.1.3

quantoptr: Algorithms for Quantile- And Mean-Optimal Treatment Regimes

Estimation methods for optimal treatment regimes under three different criteria, namely marginal quantile, marginal mean, and mean absolute difference. For the first two criteria, both one-stage and two-stage estimation method are implemented. A doubly robust estimator for estimating the quantile-optimal treatment regime is also included.

Authors:Yu Zhou [cre, aut], Lan Wang [ctb], Ben Sherwood [ctb], Rui Song [ctb]

quantoptr_0.1.3.tar.gz
quantoptr_0.1.3.zip(r-4.7)quantoptr_0.1.3.zip(r-4.6)quantoptr_0.1.3.zip(r-4.5)
quantoptr_0.1.3.tgz(r-4.6-any)quantoptr_0.1.3.tgz(r-4.5-any)
quantoptr_0.1.3.tar.gz(r-4.7-any)quantoptr_0.1.3.tar.gz(r-4.6-any)
quantoptr_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
quantoptr/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 26 downloads 14 exports 18 dependencies

Last updated from:5bdd2c40cd. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK152
linux-release-x86_64OK134
macos-release-arm64OK240
macos-oldrel-arm64OK148
windows-develOK99
windows-releaseOK86
windows-oldrelOK96
wasm-releaseOK97

Exports:abso_diff_estaugXDR_Qoptdr_quant_estget_osIPWE_MADoptIPWE_MoptIPWE_Qoptmean_estmestimateqestimatequant_estTwoStg_MoptTwoStg_Qopt

Dependencies:cligluelatticelifecyclemagrittrMASSMatrixMatrixModelsquantregrbibutilsRdpackrgenoudrlangSparseMstringistringrsurvivalvctrs