Comments (4)
Thank you Joe. I just start to learn the R usage in CDISC area and impressed by such great work from your team.
Looking forward to the success of {OAK}.
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I think so. is it right @shajoezhu? We are anyway moving out from this cache package to use directly random.cdisc.data
that has all the generation functions and details
from scda.2022.
this one only contains adam data. you might also be interested in
https://github.com/pharmaverse/pharmaverseadam
if you need sdtm data, take a look at
https://github.com/pharmaverse/pharmaversesdtm
if you looking for the program to create data, there is also
there is also https://github.com/openpharma/DataFakeR
and https://github.com/insightsengineering/random.cdisc.data
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Thanks for the introduction. What's the main difference between these two packages of data?
By the way, I also noticed the "OAK" project, as it mentioned the "raw.synthetic.data", it's still under development, right? I found no related materials about this package.
https://www.cdisc.org/sites/default/files/2023-02/SDTM_Automation_OAK_CDISC_COSA.pdf
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Related Issues (20)
- Refresh scda datasets
- Remove tern from staged.deps and add scda.tests
- release (0.1.4) ready by 13-March-2023
- New snapshot rcd_2023_03_17 after release 0.1.4
- Update data after ADLB updates
- Update `adlb` after bug fix
- Update datasets after ADTTE/ADRS refactoring HOT 1
- release 0.1.5 to OCEAN
- creating new data snapshot 2023_07_07
- Update data after fixing typo in `ETHNIC` variable
- retire the package HOT 1
- Init `gh_pages` HOT 4
- Handle example data for CRAN HOT 5
- Update data with changes to `adae`
- [UAT] re-read and reorganise NEWS entries
- Create a new version
- Refresh adpc adab data
- Remove random.cdisc.data submodule
- Update `adab` dataset
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