Changelog
Source:NEWS.md
fundiversity 1.1.0
Minor changes
- Change vignette names and indexing so that they are ordered similarly on the pkgdown website, on CRAN, and using
vignette
. Vignettes are renamedfundiversity_X-topic.Rmd
but the overview vignettefundiversity.Rmd
. - Fully replace all URLs still pointing to https://github.com/bisaloo/fundiversity to https://github.com/funecology/fundiversity
- Update documentation of
fd_*()
functions for edge cases and arguments. - Fix unuseful argument in
remove_species_without_traits()
that would displayFALSE
at the end of each message. - Update parallel vignette with list of parallelizable function at the top and explain that vignette is pre-computed.
- Update performance/benchmark vignette to reflect actually ran benchmark in manuscript.
Bug fixes
- Fix a bug in the computation of
fd_fdis()
because of a misplaced square. NB: All FDis computation done with it to this day were wrong.
fundiversity 1.0.0
CRAN release: 2022-08-25
Internal changes
- Unit tests for non-continuous traits for all functions.
- Correct all URLs of the package
Minor changes
- fundiversity functions now error when used with non-continuous trait data
-
future_apply()
andfuture_lapply()
calls infd_fdis()
,fd_fdiv()
,fd_ric()
,fd_fric_intersect()
andfd_feve()
now usefuture.globals = FALSE
, thus making the internal code less error-prone and faster in parallel settings.
fundiversity 0.2.0
CRAN release: 2021-05-14
Major changes
- There is a new function
fd_fric_intersect()
to compute the intersection of convex hulls across pairs of sites. - There is a new function
fd_fdis
to compute Functional Dispersion FDis. -
fd_fdiv()
,fd_feve()
,fd_fdis()
,fd_fric()
can now be computed in parallel with the future framework. Please refer to the parallelization vignette for more information. - The convex hull computation in
fd_fdiv()
,fd_fric()
, andfd_fric_intersect()
is now cached thanks to the memoise package to speed up repeated runs. This behavior can be disabled by runningoptions(fundiversity.memoise = FALSE)
at the start of your R session.