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IPLGP
View on CRAN: Click
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Download and install IPLGP package within the R console
Install from CRAN:
install.packages("IPLGP")
Install from Github:
library("remotes")
install_github("cran/IPLGP") Install by package version:
library("remotes")
install_version("IPLGP", "2.0.5") Attach the package and use:
library("IPLGP")
Maintained by
Ping-Yuan Chung
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-17
Latest Update: 2024-08-01
Description:
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) . 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.
How to cite:
Ping-Yuan Chung (2021). IPLGP: Identification of Parental Lines via Genomic Prediction. R package version 2.0.5, https://cran.r-project.org/web/packages/IPLGP. Accessed 26 Oct. 2026.
Previous versions and publish date:
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Complete documentation for IPLGP
Functions, R codes and Examples using
the IPLGP R package
Some associated functions: GA.Dscore . GBLUP.fit . geno.d . output.best . output.gain . phe.sd . simu.GDO . simu.GEBVGD . simu.GEBVO . simu.gamete .
Some associated R codes: GA.Dscore.R . GBLUP.fit.R . geno.d.R . output.best.R . output.gain.R . phe.sd.R . simu.GDO.R . simu.GEBVGD.R . simu.GEBVO.R . simu.gamete.R . Full IPLGP package functions and examples
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