Package: IPLGP 2.0.5

Ping-Yuan Chung

IPLGP: Identification of Parental Lines via Genomic Prediction

Combining genomic prediction with Monte Carlo simulation, three different strategies are implemented to select parental lines for multiple traits in plant breeding. The selection strategies include (i) GEBV-O considers only genomic estimated breeding values (GEBVs) of the candidate individuals; (ii) GD-O considers only genomic diversity (GD) of the candidate individuals; and (iii) GEBV-GD considers both GEBV and GD. The above method can be seen in Chung PY, Liao CT (2020) <doi:10.1371/journal.pone.0243159>. Multi-trait genomic best linear unbiased prediction (MT-GBLUP) model is used to simultaneously estimate GEBVs of the target traits, and then a selection index is adopted to evaluate the composite performance of an individual.

Authors:Ping-Yuan Chung [cre], Chen-Tuo Liao [aut]

IPLGP_2.0.5.tar.gz
IPLGP_2.0.5.zip(r-4.5)IPLGP_2.0.5.zip(r-4.4)IPLGP_2.0.5.zip(r-4.3)
IPLGP_2.0.5.tgz(r-4.4-any)IPLGP_2.0.5.tgz(r-4.3-any)
IPLGP_2.0.5.tar.gz(r-4.5-noble)IPLGP_2.0.5.tar.gz(r-4.4-noble)
IPLGP_2.0.5.tgz(r-4.4-emscripten)IPLGP_2.0.5.tgz(r-4.3-emscripten)
IPLGP.pdf |IPLGP.html
IPLGP/json (API)

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

Peer review:

Bug tracker:https://github.com/py-chung/iplgp/issues

On CRAN:

2.70 score 1 stars 260 downloads 10 exports 33 dependencies

Last updated 4 months agofrom:7b3628c1a6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:GA.DscoreGBLUP.fitgeno.doutput.bestoutput.gainphe.sdsimu.gametesimu.GDOsimu.GEBVGDsimu.GEBVO

Dependencies:clicolorspacecrayonfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppProgressrlangscalessommertibbleutf8vctrsviridisLitewithr