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-rw-r--r--var/spack/repos/builtin/packages/r-popvar/package.py20
1 files changed, 15 insertions, 5 deletions
diff --git a/var/spack/repos/builtin/packages/r-popvar/package.py b/var/spack/repos/builtin/packages/r-popvar/package.py
index 45f14f2b87..7234c19ad7 100644
--- a/var/spack/repos/builtin/packages/r-popvar/package.py
+++ b/var/spack/repos/builtin/packages/r-popvar/package.py
@@ -7,16 +7,26 @@ from spack import *
class RPopvar(RPackage):
- """PopVar: Genomic Breeding Tools: Genetic Variance Prediction andCross-
- Validation"""
+ """Genomic Breeding Tools: Genetic Variance Prediction and
+ Cross-Validation.
- homepage = "https://cloud.r-project.org/package=PopVar"
- url = "https://cloud.r-project.org/src/contrib/PopVar_1.2.1.tar.gz"
- list_url = "https://cloud.r-project.org/src/contrib/Archive/PopVar"
+ 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, <doi:10.2135/cropsci2015.01.0030>). A
+ dataset 'think_barley.rda' is included for reference and examples."""
+ cran = "PopVar"
+
+ version('1.3.0', sha256='3145c41c9aa1588d47aaf76c082e6b1c2fd95cf5014b98bd2867cbf2cec782f9')
version('1.2.1', sha256='5e3df79634ab63708a431e4b8e6794675972ac6c58d2bc615726aa0f142f5f25')
depends_on('r@3.1.1:', type=('build', 'run'))
+ depends_on('r@3.5.0:', type=('build', 'run'), when='@1.3.0:')
depends_on('r-bglr', type=('build', 'run'))
depends_on('r-qtl', type=('build', 'run'))
depends_on('r-rrblup', type=('build', 'run'))