Package: SoyNAM 1.6.2

SoyNAM: Soybean Nested Association Mapping Dataset

Genomic and multi-environmental soybean data. Soybean Nested Association Mapping (SoyNAM) project dataset funded by the United Soybean Board (USB). BLUP function formats data for genome-wide prediction and association analysis.

Authors:Alencar Xavier, William Beavis, James Specht, Brian Diers, Rouf Mian, Reka Howard, George Graef, Randall Nelson, William Schapaugh, Dechun Wang, Grover Shannon, Leah McHale, Perry Cregan, Qijian Song, Miguel Lopez, William Muir, Katy Rainey.

SoyNAM_1.6.2.tar.gz
SoyNAM_1.6.2.zip(r-4.7)SoyNAM_1.6.2.zip(r-4.6)SoyNAM_1.6.2.zip(r-4.5)
SoyNAM_1.6.2.tgz(r-4.6-x86_64)SoyNAM_1.6.2.tgz(r-4.6-arm64)SoyNAM_1.6.2.tgz(r-4.5-x86_64)SoyNAM_1.6.2.tgz(r-4.5-arm64)
SoyNAM_1.6.2.tar.gz(r-4.7-arm64)SoyNAM_1.6.2.tar.gz(r-4.7-x86_64)SoyNAM_1.6.2.tar.gz(r-4.6-arm64)SoyNAM_1.6.2.tar.gz(r-4.6-x86_64)
SoyNAM_1.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SoyNAM/json (API)

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

Bug tracker:https://github.com/alenxav/soynam/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

3.48 score 2 stars 5 scripts 313 downloads 3 mentions 4 exports 24 dependencies

Last updated from:ff2243ced4. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE151
linux-devel-x86_64NOTE151
source / vignettesOK209
linux-release-arm64NOTE148
linux-release-x86_64NOTE148
macos-release-arm64NOTE111
macos-release-x86_64NOTE188
macos-oldrel-arm64NOTE89
macos-oldrel-x86_64NOTE240
windows-develNOTE156
windows-releaseNOTE131
windows-oldrelNOTE135
wasm-releaseOK116

Exports:BLUPENVgwnammrr

Dependencies:bootcligluelatticelifecyclelme4magrittrMASSMatrixminqaNAMnlmenloptrplyrrbibutilsRcppRcppEigenRdpackreformulasreshape2rlangstringistringrvctrs

Readme and manuals

Help Manual

Help pageTopics
Soybean Nested Association Mapping DatasetSoyNAM-package
Best Linear Unbias PredictorBLUP ENV gwnam mrr
Datasetsdata.check data.check.in data.check.qa data.line data.line.in data.line.qa gen.in gen.qa gen.raw soybase soynam