Packages suggested by CTVsuggest
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- r
- Domain
- documentation
Research direction
Start by reviewing the CTVsuggest output in the issue and comparing each package with the NumericalMathematics task view. Check whether each suggestion belongs in this context, noting the stated Ryacas/Ryacas0 distinction, and finish by proposing a justified set of packages for inclusion.
Written by the indexing model from the issue text.
Description
I tried out the 'CTVsuggest' package, as requested by Achim Zeileis.
For the NumericalNumerics task view, it suggested the following packages:
CTVsuggest(taskview = "NumericalMathematics", n = 20)
jordan 0.9995356 pbdSLAP 0.9757127
RationalMatrix 0.9987952 vecsets 0.9717508
EigenR 0.9987411 FunWithNumbers 0.9669418
weyl 0.9972708 BLPestimatoR 0.9593805
gmpoly 0.9933795 maotai 0.9571226
Rfractran 0.9926443 mvmesh 0.9518288
qspray 0.9915961 spray 0.9497771
go2bigq 0.9838838 inflection 0.9467829
contFracR 0.9811039 Ryacas0 0.9463418
SparseChol 0.9780122 ecdfHT 0.9338194
I don't want to blow up the task view, but I think we have to check these
packages. For instance, Ryacas and ecdfHT are not right in this context
(Ryacas replaces Ryacas0) , but spray and jordan authored by Robin
and will be appropriate for inclusion.
Can each of us go through this list and propose those packages that
he thinks should be added?
- Dominant language
- No language data
- Stars
- 1
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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