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BreedReliabR: Decision Reliability for Genotype Advancement under Prediction and Target Environment Uncertainty

A model-agnostic research layer for genotype advancement decisions from externally fitted genomic prediction models. It propagates full joint coefficient prediction-error covariance together with finite sampling from a specified target population of environments to calculate conditional advancement probabilities, expected selected-set reliability, and the relative contributions of prediction and target-environment uncertainty. It also compares uncertainty formulations and reports geometric support diagnostics. Probabilities are conditional on supplied inputs and are not guaranteed to be calibrated in new populations or environments.

Version: 0.1.1
Depends: R (≥ 3.6.0)
Imports: stats, graphics
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-10-16
DOI: 10.32614/CRAN.package.BreedReliabR (may not be active yet)
Author: Ashutosh Sawarkar ORCID iD [aut, cre], Santosh Patil ORCID iD [aut]
Maintainer: Ashutosh Sawarkar <annu.sawarkar at gmail.com>
BugReports: https://github.com/annusawarkar-sys/BreedReliabR/issues
License: MIT + file LICENSE
URL: https://github.com/annusawarkar-sys/BreedReliabR
NeedsCompilation: no
Citation: BreedReliabR citation info
Materials: README, NEWS
CRAN checks: BreedReliabR results

Documentation:

Reference manual: BreedReliabR.html , BreedReliabR.pdf
Vignettes: From imported predictions to advancement reliability: simulated maize (source, R code)
BreedReliabR: Methodology and empirical validation (source, R code)

Downloads:

Package source: BreedReliabR_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: BreedReliabR_0.1.1.zip
macOS binaries: r-release (arm64): BreedReliabR_0.1.1.tgz, r-oldrel (arm64): BreedReliabR_0.1.1.tgz, r-release (x86_64): BreedReliabR_0.1.1.tgz, r-oldrel (x86_64): BreedReliabR_0.1.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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