Package: TSDFGS 2.4.2

Jen-Hsiang Ou

TSDFGS: Training Set Determination For Genomic Selection

We propose an optimality criterion to determine the required training set, r-score, which is derived directly from Pearson's correlation between the genomic estimated breeding values and phenotypic values of the test set <doi:10.1007/s00122-019-03387-0>. This package provides two main functions to determine a good training set and its size.

Authors:Jen-Hsiang Ou [aut, cre], Po-Ya Wu [aut], Chen-Tuo Liao [aut, ths]

TSDFGS_2.4.2.tar.gz
TSDFGS_2.4.2.zip(r-4.7)TSDFGS_2.4.2.zip(r-4.6)TSDFGS_2.4.2.zip(r-4.5)
TSDFGS_2.4.2.tgz(r-4.6-x86_64)TSDFGS_2.4.2.tgz(r-4.6-arm64)TSDFGS_2.4.2.tgz(r-4.5-x86_64)TSDFGS_2.4.2.tgz(r-4.5-arm64)
TSDFGS_2.4.2.tar.gz(r-4.7-arm64)TSDFGS_2.4.2.tar.gz(r-4.7-x86_64)TSDFGS_2.4.2.tar.gz(r-4.6-arm64)TSDFGS_2.4.2.tar.gz(r-4.6-x86_64)
TSDFGS_2.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
TSDFGS/json (API)

# Install 'TSDFGS' in R:

install.packages('TSDFGS', repos = c('https://oumarkme.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/oumarkme/tsdfgs/issues

Pkgdown/docs site:https://oumarkme.github.io

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

geno - Genotype information
subpop - Sub-population information

On CRAN:

genomic-prediction genomic-selection cpp

3.70 score 5 stars 8 scripts 292 downloads 2 mentions 7 exports 28 dependencies

Last updated from:a802b81201. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	172
linux-devel-x86_64	OK	161
source / vignettes	OK	188
linux-release-arm64	OK	163
linux-release-x86_64	OK	761
macos-release-arm64	OK	200
macos-release-x86_64	OK	259
macos-oldrel-arm64	OK	265
macos-oldrel-x86_64	OK	477
windows-devel	OK	129
windows-release	OK	132
windows-oldrel	OK	148
wasm-release	OK	164

Exports:cd_score FGCM nt2r optTrain pev_score r_score SSDFGS

Dependencies:cli cpp11 dplyr farver generics ggplot2 glue gtable isoband labeling latex2exp lifecycle magrittr pillar pkgconfig R6 RColorBrewer Rcpp RcppEigen rlang S7 scales tibble tidyselect utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
CD-score	cd_score
Fit logistic growth curve model	FGCM
Genotype information	geno
Simulate r-scores of each training set size	nt2r
Optimal training set determination	optTrain
PEV score	pev_score
r-score	r_score
Sample size determination for genomic selection	SSDFGS
Sub-population information	subpop
TSDFGS	TSDFGS