This document describes what should be done so that spaMM becomes supported by broom.mixed.
- fork and clone broom.mixed
- install broom.mixed dependencies
- check that R CMD check is clean
Note: 1 failed test for stanarm (commented) + 15 warnings in tests (untouched)
- add spaMM to DESCRIPTION
- create empty file for tests
- create empty file for tidiers
- implement basic version for tidy.HLfit()
- implement basic version for augment.HLfit()
- implement basic version for glance.HLfit()
See https://www.tidymodels.org/learn/develop/broom/ and the broom.mixed vignette for detailed instructions
See the dedicated spaMM vignette in this package
Make sure it works for:
- all common random effect structures
- all common families and links
- the 3 fitting functions (
fitme()
,HLfit()
,corrHLfit()
) - multivariate models?
See the dedicated spaMM vignette in this package
- cleanup test file
- uncomment added comment in test-stanarm.R
- merge latest broom.mixed
- store fitted models as rda in inst/extdata (produced in run_example.R)
- update documentation (see https://roxygen2.r-lib.org/articles/markdown.html)
- update examples
- remove special spaMM vignette
- update vignette
- update NEWS
- delete this file
- remove mention of this file in .Rbuildignore
- PR