Package: predieval
Type: Package
Title: Assessing Performance of Prediction Models for Predicting
        Patient-Level Treatment Benefit
Version: 0.1.2
Date: 2022-11-01
Author: Orestis Efthimiou
Maintainer: Orestis Efthimiou <oremiou@gmail.com>
Description: Methods for assessing the performance of a prediction
        model with respect to identifying patient-level treatment
        benefit. All methods are applicable for continuous and binary
        outcomes, and for any type of statistical or machine-learning
        prediction model as long as it uses baseline covariates to
        predict outcomes under treatment and control.
License: GPL (>= 2)
Depends: R (>= 4.1)
Imports: stats, Hmisc (>= 4.6-0), ggplot2 (>= 3.3.5), MASS (>= 7.3),
        Matching (>= 4.10-2)
Encoding: UTF-8
URL: https://github.com/esm-ispm-unibe-ch/predieval
RoxygenNote: 7.1.2
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://esm-ispm-unibe-ch.r-universe.dev
Date/Publication: 2026-10-05 13:07:50 UTC
RemoteUrl: https://github.com/esm-ispm-unibe-ch/predieval
RemoteRef: HEAD
RemoteSha: aca97e6e8f77172f15acea72bb6ece3f5ad03ebb
NeedsCompilation: no
Packaged: 2026-10-05 18:40:59 UTC; root