r2rtf
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
Comparison · Analytics
DoseFinding vs sdtm.oak
A side-by-side editorial comparison of DoseFinding and sdtm.oak — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:clinical-trials
DoseFinding vs sdtm.oak: at a glance
What is DoseFinding?
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
DoseFinding implements MCP-Mod and related dose-response methodology for clinical trial design and analysis. In 2024 it changed hands — Marius Thomas took over as maintainer, Novartis was recorded as copyright holder and funder, and the package moved to the openpharma GitHub organisation with roxygen documentation and a proper NEWS file. The two releases since have added substantive methodology: model averaging for dose-response fitting in 1.3-1, and conditional and predictive power for interim analyses in 1.4-1.
What is sdtm.oak?
Two releases in, the open-source SDTM toolkit now covers the domains it originally excluded.
sdtm.oak builds SDTM datasets — the tabulation standard clinical trial submissions are filed in — from raw collected data. The 0.1.0 release shipped the mapping algorithm functions and derived-variable helpers but explicitly excluded DM, trial design domains, and several others. Version 0.2.0 closes the largest of those gaps, adding DM domain support via calc_min_max_date() and oak_calc_ref_dates(), plus generate_sdtm_supp() for supplemental qualifier domains.
DoseFinding vs sdtm.oak: editorial side-by-side
DoseFinding
0.0ANALYTICS
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
◆ Current state
DoseFinding implements MCP-Mod and related dose-response methodology for clinical trial design and analysis. In 2024 it changed hands — Marius Thomas took over as maintainer, Novartis was recorded as copyright holder and funder, and the package moved to the openpharma GitHub organisation with roxygen documentation and a proper NEWS file. The two releases since have added substantive methodology: model averaging for dose-response fitting in 1.3-1, and conditional and predictive power for interim analyses in 1.4-1.
◆ Where it's heading
The pattern before the handover was maintenance — R-devel compliance, a bug fix, a link. After it, each release carries a named methodological addition with an acknowledged contributor, plus documentation to match: a longitudinal analysis vignette shipped alongside the interim power work. Housekeeping continues underneath, mostly clearing deprecated ggplot2 interfaces, aes_string in one release and qplot in the next.
◆ Prediction
Given the last two releases each added one method with a supporting vignette, expect the next to follow the same shape. Both additions so far extend the package beyond fixed dose-response fitting, so adaptive and interim methodology is the more likely direction.
sdtm.oak
0.0ANALYTICS
Two releases in, the open-source SDTM toolkit now covers the domains it originally excluded.
◆ Current state
sdtm.oak builds SDTM datasets — the tabulation standard clinical trial submissions are filed in — from raw collected data. The 0.1.0 release shipped the mapping algorithm functions and derived-variable helpers but explicitly excluded DM, trial design domains, and several others. Version 0.2.0 closes the largest of those gaps, adding DM domain support via calc_min_max_date() and oak_calc_ref_dates(), plus generate_sdtm_supp() for supplemental qualifier domains.
◆ Where it's heading
This is the pharmaverse pattern of building submission tooling in the open, one domain class at a time, with the release history running through GitHub release-candidate tags before each CRAN submission. The direction is clear from the domain checklist: start with the mechanically simple Findings and Events domains, then work toward the ones with cross-dataset dependencies. DM and SUPP were the two that most often forced teams back to bespoke code.
◆ Prediction
The remaining exclusions from the 0.1.0 scope — trial design domains, SV, SE, RELREC and the EPOCH variable — are the obvious next targets, with EPOCH likely first since it depends on the reference dates 0.2.0 just added. Expect the same rhythm of release candidates ahead of each CRAN submission.
Alternatives to DoseFinding and sdtm.oak
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either DoseFinding or sdtm.oak.
webmockr
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
crul
crul took mocking back from webmockr and made it a property of the client itself
dendroNetwork
Six releases, six identical bodies — the feed carries the package abstract instead of release notes
chattr
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
cloudml
Six years since the last functional change, and Google renamed the service it wraps in the release before that
See all DoseFinding alternatives → · See all sdtm.oak alternatives →
Recent activity from DoseFinding and sdtm.oak
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoDoseFindingConditional and predictive power for interim analyses
- 1y agosdtm.oaksdtm.oak v0.2.0 CRAN release ⚡
- 1y agoDoseFindingModel averaging arrives for dose-response fitting ⚡
- 1y agosdtm.oaksdtm.oak v0.1.1 CRAN release
- 1y agosdtm.oaksdtm.oak v0.1.0 CRAN release
- 1y agosdtm.oakv0.1.0rc4: [skip vbump] 90 cran comments (#91)
- 1y agoDoseFindingPackage moves to openpharma under new maintainership
- 2y agosdtm.oakv0.1.0rc2: Fix CRAN Comments (#84)
- 2y agosdtm.oakv0.1.0: [skip vbump] Bump version for cran release (#77)
- 2y agoDoseFindingCompliance update for R-devel
- 3y agoDoseFindingpowMCTBinCount bug fix
Frequently asked questions
What is the difference between DoseFinding and sdtm.oak?
Both compete on the same themes — clinical-trials — within Analytics. DoseFinding and sdtm.oak are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is DoseFinding better than sdtm.oak?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. DoseFinding and sdtm.oak are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to DoseFinding?
Top DoseFinding alternatives in Analytics are ranked by recent ship velocity. Browse the "DoseFinding alternatives" section above for the current picks, or visit /alternatives/dosefinding for the full list with editorial commentary on each.
What are the best alternatives to sdtm.oak?
Top sdtm.oak alternatives in Analytics are ranked by recent ship velocity. Browse the "sdtm.oak alternatives" section above for the current picks, or visit /alternatives/sdtm-oak for the full list with editorial commentary on each.