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Install packages one by one. This helps users experience multiple little successes and they can install only what they need.
fgeo to not install but only attach available fgeo packages?
Make fgeo install only fgeo.base, fgeo.tool, fgeo.data, and let users install the other packages that depend on less reliable code?
Reduce dependencies in general and particularly try to avoid less-tested packages.
Give video-instructions to setup an updated R-environment
Create a package to diagnose problems in users' R-environment (talk to Jenny Bryan and Jim Hester in case they are developing something along those lines -- given that they run the WTF workshop).
Distribute built versions of all fgeo packages (source and or binary?).
Make packages smaller:
Move vignettes to a bookdown?
Reduce/remove data?
Why is fgeo.habitat so heavy?
Submit packages to CRAN so users don't need install_github().
The text was updated successfully, but these errors were encountered:
Now fgeo is much easier to install (see Installation at https://forestgeo.github.io/fgeo/). Please test it (#64) and let me know if you have any issue.
At first glance, the installation instructions are short.
For more details, users can expand specific instructions
Users with an authenticated GitHub account can install directly from GitHub -- as usual.
Users without an authenticated GitHub account can avoid reaching the rate-limit (Avoid reaching rate limit #69) by using fgeo.install.
For an example, users can expand and view a demo of fgeo.install.
Also, fgeo is now much lighter (#68). No information is lost.
Finally, the krigging function is now excluded from the core fgeo packages. It lives in its own package, fgeo.krig, because it depends on a problematic package (geoR). This insulates the problem.
Ideas (some very bad ones):
Install packages one by one. This helps users experience multiple little successes and they can install only what they need.
Make fgeo install only fgeo.base, fgeo.tool, fgeo.data, and let users install the other packages that depend on less reliable code?
Reduce dependencies in general and particularly try to avoid less-tested packages.
Give video-instructions to setup an updated R-environment
Create a package to diagnose problems in users' R-environment (talk to Jenny Bryan and Jim Hester in case they are developing something along those lines -- given that they run the WTF workshop).
Distribute built versions of all fgeo packages (source and or binary?).
Make packages smaller:
Submit packages to CRAN so users don't need
install_github()
.The text was updated successfully, but these errors were encountered: