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]

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quantoptr.pdf |quantoptr.html✨
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 8 scripts 146 downloads 14 exports 18 dependencies

Last updated 7 years agofrom:5bdd2c40cd. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-winOKMar 20 2025
R-4.5-macOKMar 20 2025
R-4.5-linuxOKMar 20 2025
R-4.4-winOKMar 20 2025
R-4.4-macOKMar 20 2025
R-4.4-linuxOKMar 20 2025
R-4.3-winOKMar 20 2025
R-4.3-macOKMar 20 2025

Exports:abso_diff_estaugXDR_Qoptdr_quant_estget_osIPWE_MADoptIPWE_MoptIPWE_Qoptmean_estmestimateqestimatequant_estTwoStg_MoptTwoStg_Qopt

Dependencies:cligluelatticelifecyclemagrittrMASSMatrixMatrixModelsquantregrbibutilsRdpackrgenoudrlangSparseMstringistringrsurvivalvctrs