Comments (1)
A full merge would be a fair amount of work, though not technically difficult. It might more easily be done by updating pqR than by updating R Core. The next pqR release, which is imminent, will move from compatibility with R-2.15.0 to compatibility with R-2.15.1.
There are, however, quite a few pqR changes, with substantial benefits, that could easily be moved to R Core versions, sometimes by just replacing entire modules. A few pqR features have been put into R Core, but only ones that involve a dozen or so lines of code, which R Core tends to rewrite in their own way, rather than taking unchanged from pqR. There are also easy changes involving a dozen or so lines of code that R Core hasn't put into the R Core version even though they would have large benefits, for minimal time investment.
The fundamental problem is that R Core is a dysfunctional group, in which no one sees it as their responsibility to assess what is best for the R community, and do that, regardless of whether or not the ideas originated in R Core.
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Related Issues (20)
- pqR side by side with GNU-R HOT 8
- T and F don't work with mat_mult_with_BLAS configuration argument
- Docker image for pqR HOT 3
- No window version available HOT 1
- Incompatible library version HOT 3
- Will pqR code be merged to R? HOT 9
- Missing <R_ext/sggc-app.h> HOT 11
- Proposal of new feature: native 64 bit integers support HOT 2
- R/time.R - filename restricted? HOT 5
- Update formula does not work as expected HOT 6
- make error: multiple definitions HOT 6
- segfault when using attributes HOT 1
- buffer overflow when using attributes on a recursive function HOT 2
- floating point exception
- pqR aborted when using plot
- Problems with installation ubuntu 20.04 HOT 5
- Pqr and running Rstudio on mac
- Installation fails on Slackware 15.0 HOT 13
- Slow pqR loops vs R (CRAN)
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