If this is the behaviour you are looking for, you might like to try
pak (https://pak.r-lib.org)
# Create a temporary library
path <- tempfile()
dir.create(path)
.libPaths(path)
pak::pkg_install("scales")
#> → Will install 8 packages:
#> colorspace (1.4-1), labeling (0.3), munsell (0.5.0), R6 (2
Joshua,
Doing this well "horizontally" (across different OSs even though for just one
domain, like CRAN and R) is difficult.
We have decent "vertical" solutions (with one OS / distro) for (at least
some) use / deployment cases as I show in a brief blog post and video here
http://dirk.eddelbu
