Does anyone know if this is an error on #CRAN? I went to install the {multcompView} package only to have the error returned:
package ‘multicompView’ is not available for this version of R
So I naturally checked on CRAN what version of R it Depends on, and to my suprise, nothing was listed 🤔 I would have thought listing the R version under Depends would be a hard requirement and would have failed CRAN checks otherwise. #RStats https://cran.r-project.org/web/packages/multcompView/index.html
I have an #rstats#cran question. If I document an unexported function, will CRAN reject me if I don't include #' @examples for each of the functions (like they would do for an exported function)?
The {ggsurvfit} package made its v1.0 release! 🕺🏻🕺🏻
Check it out for your survival/time-to-event visualization needs! The plots are fully ggplot and integrate seamlessly with all the ggplot functions you you already know 📈
For 5 years, the ROracle #rstats package provided by #Oracle to CRAN has been broken on Windows. Some nice fellow has finally caved and posted a fork that actually works. Good for him! But it exposes an underlying problem,
@obrl_soil
As much as I don't like Oracle (mostly because of what they have done in the past), I havet o agree that CRAN's review process suffers from single-person-blockage. All your submissions come down to decision of one person. The #rOpenSci process is more democratic and way more transparent, but it is excruciatingly lengthy. I personally like a middle ground approach (transparent communication, more than one moderator for package submission, quick responses)
New releases of the #rstats packages {dqrng} and {tikzDevice} have made it unto #CRAN. While the latter release has only minor internal changes, dqrng now comes with two new functions dqrrademacher for drawing Rademacher weights and dqrmvnorm for drawing from a multivariate normal distribution.
In addition, the C++ templates used by the fast sampling methods are now in their own header file allowing for parallel usage.