{CBADASReml} is available through the R-Universe with pre-built binaries (this is the easy way).
To get started:
options(repos = c(
aagi_aus = 'https://aagi-aus.r-universe.dev',
CRAN = 'https://cloud.r-project.org'))install.packages("CBADASReml")You can install {CBADASReml} directly from the repository with {pak} like so:
o <- options() # store default options
options(pkg.build_vignettes = TRUE)
if (!require("pak"))
install.packages("pak")
pak::pak("AAGI-AUS/CBADASReml")
options(o) # reset optionsFor a detailed understanding of how the package can be used, here is a fully worked example of a small-plot trial analysis: Small-Plot Case Study This analysis tries to showcase each function in a useful capacity.
All contributions are appreciated, but please make sure to follow the Contribution Guidelines.
