Package: ProbBreed 1.0.4.4

Saulo Chaves

ProbBreed: Probability Theory for Selecting Candidates in Plant Breeding

Use probability theory under the Bayesian framework for calculating the risk of selecting candidates in a multi-environment context. Contained are functions used to fit a Bayesian multi-environment model (based on the available presets), extract posterior values and maximum posterior values, compute the variance components, check the model’s convergence, and calculate the probabilities. For both across and within-environments scopes, the package computes the probability of superior performance and the pairwise probability of superior performance. Furthermore, the probability of superior stability and the pairwise probability of superior stability across environments is estimated. A joint probability of superior performance and stability is also provided.

Authors:Saulo Chaves [aut, cre], Kaio Dias [aut, cph], Matheus Krause [aut]

ProbBreed_1.0.4.4.tar.gz
ProbBreed_1.0.4.4.tar.gz(r-4.5-noble)ProbBreed_1.0.4.4.tar.gz(r-4.4-noble)
ProbBreed.pdf |ProbBreed.html
ProbBreed/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/saulo-chaves/probbreed/issues

Pkgdown site:https://saulo-chaves.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • maize - Maize real data set
  • soy - Soybean real data set

cpp

2.48 score 4 scripts 618 downloads 3 exports 53 dependencies

Last updated 2 months agofrom:95a0471b60. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 11 2024
R-4.5-linux-x86_64OKDec 11 2024

Exports:bayes_metextr_outsprob_sup

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr