CRAN/E | multisite.accuracy

multisite.accuracy

Estimation of Accuracy in Multisite Machine-Learning Models

Installation

About

The effects of the site may severely bias the accuracy of a multisite machine-learning model, even if the analysts removed them when fitting the model in the 'training set' and applying the model in the 'test set' (Solanes et al., Neuroimage 2023, 265:119800). This simple R package estimates the accuracy of a multisite machine-learning model unbiasedly, as described in (Solanes et al., Psychiatry Research: Neuroimaging 2021, 314:111313). It currently supports the estimation of sensitivity, specificity, balanced accuracy (for binary or multinomial variables), the area under the curve, correlation, mean squarer error, and hazard ratio for binomial, multinomial, gaussian, and survival (time-to-event) outcomes.

Key Metrics

Version 1.2
Published 2023-04-18 542 days ago
Needs compilation? no
License GPL-3
CRAN checks multisite.accuracy results

Downloads

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Maintainer

Maintainer

Joaquim Radua

Authors

Joaquim Radua

Material

NEWS
Reference manual
Package source

macOS

r-devel

arm64

r-release

arm64

r-oldrel

arm64

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

multisite.accuracy archive

Imports

AROC
coxme
lme4
lmerTest
logistf
metafor
pROC
survival