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✨
DESCRIPTION
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 8 scripts 362 downloads 3 mentions 4 exports 24 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE184
linux-devel-x86_64NOTE154
source / vignettesOK201
linux-release-arm64NOTE179
linux-release-x86_64NOTE158
macos-release-arm64NOTE99
macos-release-x86_64NOTE216
macos-oldrel-arm64NOTE136
macos-oldrel-x86_64NOTE204
windows-develNOTE153
windows-releaseNOTE187
windows-oldrelNOTE119
wasm-releaseOK129

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