CRAN/E | predieval

predieval

Assessing Performance of Prediction Models for Predicting Patient-Level Treatment Benefit

Installation

About

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.

github.com/esm-ispm-unibe-ch/predieval

Key Metrics

Version 0.1.1
R ≥ 4.1
Published 2022-04-19 907 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks predieval results

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Maintainer

Maintainer

Orestis Efthimiou

Authors

Orestis Efthimiou

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

predieval archive

Depends

R ≥ 4.1

Imports

stats
Hmisc ≥ 4.6-0
ggplot2 ≥ 3.3.5
MASS ≥ 7.3
Matching ≥ 4.10-2

Suggests

testthat ≥ 3.0.0