Package: oosse 1.0.11

Stijn Hawinkel

oosse: Out-of-Sample R² with Standard Error Estimation

Estimates out-of-sample R² through bootstrap or cross-validation as a measure of predictive performance. In addition, a standard error for this point estimate is provided, and confidence intervals are constructed.

Authors:Stijn Hawinkel [cre, aut]

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oosse.pdf |oosse.html✨
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NEWS

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

Peer review:

Bug tracker:https://github.com/sthawinke/oosse/issues

Datasets:
  • Brassica - Gene expression and phenotypes of Brassica napus (rapeseed) plants

On CRAN:

3 exports 2 stars 1.10 score 16 dependencies 5 scripts 146 downloads

Last updated 7 months agofrom:09b01f075c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 2024

Exports:buildConfIntR2oosseRsquaredSE

Dependencies:BHBiocParallelcodetoolscpp11doParallelforeachformatRfutile.loggerfutile.optionsiteratorslambda.rlatticeMatrixrbibutilsRdpacksnow

Vignette of the oosse package

Stijn Hawinkel

Rendered fromoosseVignette.Rmdusingknitr::rmarkdownon Sep 04 2024.

Last update: 2024-02-07
Started: 2023-04-05