Package: qgshiny 0.1.0

qgshiny: A 'shiny' Application for Active Learning Instruction in Introductory Quantitative Genetics

A 'shiny' application for teaching introductory quantitative genetics and plant breeding through interactive simulations. The application relies on established plant breeding and quantitative genetic theory found in Falconer and Mackay (1996, ISBN:0582243025) and Bernardo (2010, ISBN:978-0972072427).

Authors:Jeffrey Neyhart [aut, cre]

qgshiny_0.1.0.tar.gz
qgshiny_0.1.0.zip(r-4.7)qgshiny_0.1.0.zip(r-4.6)qgshiny_0.1.0.zip(r-4.5)
qgshiny_0.1.0.tgz(r-4.6-any)qgshiny_0.1.0.tgz(r-4.5-any)
qgshiny_0.1.0.tar.gz(r-4.7-any)qgshiny_0.1.0.tar.gz(r-4.6-any)
qgshiny_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
qgshiny/json (API)

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

Bug tracker:https://github.com/neyhartj/qgshiny/issues

On CRAN:

Conda:

3.30 score 4 stars 1 scripts 737 downloads 1 exports 37 dependencies

Last updated from:469a581b39. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE105
source / vignettesOK168
linux-release-x86_64NOTE121
macos-release-arm64NOTE127
macos-oldrel-arm64NOTE177
windows-develNOTE84
windows-releaseNOTE96
windows-oldrelNOTE73
wasm-releaseOK106

Exports:run_qgshiny

Dependencies:base64encbslibcachemclicommonmarkdigestevaluatefastmapfontawesomefsgluehighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRcpprlangrmarkdownsassshinysourcetoolstinytexwithrxfunxtableyaml