Workflow | Import the model outputs and specify a TPE | Check environmental support and uncertainty scale | Compare M0--M3 and calculate advancement probabilities | Interpret the H curve | External validation and empirical findings
This package is considered a duplicate. The official version of this package is found at:https://annusawarkar-sys.r-universe.dev/BreedReliabR
Package: BreedReliabR 0.1.1
Ashutosh Sawarkar
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.
Authors:
BreedReliabR_0.1.1.tar.gz
BreedReliabR_0.1.1.zip(r-4.7-any)BreedReliabR_0.1.1.zip(r-4.6-any)
BreedReliabR_0.1.1.tar.gz(r-4.7-any)BreedReliabR_0.1.1.tar.gz(r-4.6-any)
BreedReliabR_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BreedReliabR/json (API)
| # Install 'BreedReliabR' in R: |
| install.packages('BreedReliabR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/annusawarkar-sys/breedreliabr/issues
Datasets:
- maize_demo - Explicitly simulated maize advancement demonstration
Last updated from:b39f54cbe0. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 118 | ||
| source / vignettes | OK | 150 | ||
| linux-release | OK | 128 | ||
| windows-devel | OK | 68 | ||
| windows-release | OK | 77 | ||
| wasm-release | OK | 102 |
Exports:br_advancebr_comparebr_curvebr_omegabr_predictionbr_supportbr_tpe
Dependencies:
BreedReliabR: Methodology and empirical validation
Last update: 2026-10-16
Started: 2026-10-16
From imported predictions to advancement reliability: simulated maize
Decision and scope | 1. Fit-import boundary | 2. Specify the TPE | 3. Diagnose support before interpreting reliability | 4. Partition uncertainty with Omega | 5. Compare all four uncertainty scenarios | 6. Inspect advancement probabilities and selected sets | 7. Interpret reliability versus H | 8. TPE sensitivity and research use
Last update: 2026-10-16
Started: 2026-10-16
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Decision Reliability for Genomic Genotype Advancement Across Target Environments | BreedReliabR-package BreedReliabR |
| Estimate genotype advancement probabilities | br_advance |
| Compare four advancement uncertainty scenarios | br_compare |
| Compute uncertainty and reliability over future network sizes | br_curve |
| Quantify prediction versus finite-TPE uncertainty | br_omega |
| Construct a genomic prediction object | br_prediction |
| Diagnose geometric environmental support of a specified TPE | br_support |
| Define a target population of environments | br_tpe |
| Explicitly simulated maize advancement demonstration | maize_demo |
| Print a BreedReliabR advancement analysis | print.br_advancement |
| Print a BreedReliabR uncertainty diagnostic | print.br_omega |
| Print a BreedReliabR prediction object | print.br_prediction |
| Print a BreedReliabR TPE object | print.br_tpe |
| Display research-facing results | plot.br_comparison plot.br_curve plot.br_support print.br_comparison print.br_curve print.br_support summary.br_comparison summary.br_curve summary.br_support |