The gosset package provides methods to implement workflows to analyse experimental agriculture data, from data synthesis to model selection and visualisation. The package is named after W.S. Gosset aka ‘Student’, a pioneer of modern statistics in small sample experimental design and analysis.
Version 1.6.0 corrects statistical errors found in a review of the package, and some results change. kendallTau() p-values are now two-sided and treat each participant as an independent ranking, crossvalidation() reports out-of-sample Kendall's tau, and preference_index() and regret() count and weight observations correctly. See NEWS before comparing with analyses run on earlier versions.
The stable version is available through CRAN.
install.packages("gosset")The development version can be installed via
library("remotes")
remotes::install_github("agrdatasci/gosset")The functionality of gosset is illustrated in the package's vignettes
- Please report any issues or bugs.
- License: MIT
- Get citation information for gosset in R by typing
citation(package = "gosset"). - You are welcome to contribute to the gosset project. Please read our contribution guide lines.
- Please note that the gosset project is released with a Contributor Code of Conduct. By participating in the gosset project you agree to abide by its terms.