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PopVar
View on CRAN: Click
here
Download and install PopVar package within the R console
Install from CRAN:
install.packages("PopVar")
Install from Github:
library("remotes")
install_github("cran/PopVar")
Install by package version:
library("remotes")
install_version("PopVar", "1.3.1")
Attach the package and use:
library("PopVar")
Maintained by
Jeffrey Neyhart
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-01
Latest Update: 2024-01-29
Description:
The main attribute of 'PopVar' is the prediction of genetic variance in bi-parental populations,
from which the package derives its name. 'PopVar' contains a set of functions that use phenotypic and genotypic
data from a set of candidate parents to 1) predict the mean, genetic variance, and superior progeny value of all,
or a defined set of pairwise bi-parental crosses, and 2) perform cross-validation to estimate genome-wide prediction
accuracy of multiple statistical models. More details are available in Mohammadi, Tiede, and Smith (2015, ).
A dataset 'think_barley.rda' is included for reference and examples.
How to cite:
Jeffrey Neyhart (2015). PopVar: Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation. R package version 1.3.1, https://cran.r-project.org/web/packages/PopVar
Previous versions and publish date:
Other packages that cited PopVar R package
View PopVar citation profile
Other R packages that PopVar depends,
imports, suggests or enhances
Functions, R codes and Examples using
the PopVar R package
Some associated functions: PopVar-package . internal . mppop.predict . pop.predict . pop.predict2 . think_barley.rda . x.val .
Some associated R codes: PopVar-package.R . cross_validation.R . internal_functions.R . mppop_predict.R . pop_predict.R . think_barley_dataset.R . Full PopVar package functions and examples
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