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-4.5)qgshiny_0.1.0.zip(r-4.4)qgshiny_0.1.0.zip(r-4.3)
qgshiny_0.1.0.tgz(r-4.4-any)qgshiny_0.1.0.tgz(r-4.3-any)
qgshiny_0.1.0.tar.gz(r-4.5-noble)qgshiny_0.1.0.tar.gz(r-4.4-noble)
qgshiny_0.1.0.tgz(r-4.4-emscripten)qgshiny_0.1.0.tgz(r-4.3-emscripten)
qgshiny.pdf |qgshiny.html✨
qgshiny/json (API)

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

Peer review:

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

On CRAN:

3.30 score 4 stars 1 scripts 664 downloads 1 exports 37 dependencies

Last updated 4 years agofrom:469a581b39. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winNOTENov 23 2024
R-4.5-linuxNOTENov 23 2024
R-4.4-winNOTENov 23 2024
R-4.4-macNOTENov 23 2024
R-4.3-winNOTENov 23 2024
R-4.3-macNOTENov 23 2024

Exports:run_qgshiny

Dependencies:base64encbslibcachemclicommonmarkcrayondigestevaluatefastmapfontawesomefsgluehighrhtmltoolshttpuvjquerylibjsonliteknitrlaterlifecyclemagrittrmemoisemimepromisesR6rappdirsRcpprlangrmarkdownsassshinysourcetoolstinytexwithrxfunxtableyaml