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DoseFinding vs pkglite

A side-by-side editorial comparison of DoseFinding and pkglite — release velocity, themes, recent moves, and the top alternatives to consider.

DoseFinding vs pkglite: at a glance

FeatureDoseFindingpkglite
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdose-response, mcp-mod, clinical-trials, model-averagingr-packages, pharma-submissions, packaging, file-handling
Last editorial update43m ago1h ago
WebsiteVisit →Visit →

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.

Read the full DoseFinding trajectory →

What is pkglite?

pkglite's whole job is knowing which files in an R package are text — and it keeps getting better at guessing.

pkglite packs an R package into a single plain-text file and unpacks it again, the mechanism pharmaceutical submissions use to move source through systems that accept text but not archives. The API settled at 0.2.0 with file specification templates, `merge()` and `prune()`. Every release since has improved the same thing: the dictionary that decides whether a file is text or binary, most recently rebuilt from the file extensions found across 21,369 CRAN packages.

Read the full pkglite trajectory →

DoseFinding vs pkglite: editorial side-by-side

D
DoseFinding
ANALYTICS
0.0

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.

P
pkglite
ANALYTICS
0.0

pkglite's whole job is knowing which files in an R package are text — and it keeps getting better at guessing.

◆ Current state

pkglite packs an R package into a single plain-text file and unpacks it again, the mechanism pharmaceutical submissions use to move source through systems that accept text but not archives. The API settled at 0.2.0 with file specification templates, `merge()` and `prune()`. Every release since has improved the same thing: the dictionary that decides whether a file is text or binary, most recently rebuilt from the file extensions found across 21,369 CRAN packages.

◆ Where it's heading

The failure mode this package cares about is silent — misclassify a binary file as text and the round trip corrupts it, misclassify text as binary and it bloats or drops. So the work is empirical rather than architectural: mine real packages for what extensions actually appear, then widen coverage where specific ecosystems break the pattern. Stan interfaces via rstan brought `src/Makevars` and `src/Makefile` handling; machine learning frameworks brought their own binary formats. Dependencies have gone the other way, with cli removed and replaced by internal equivalents.

◆ Prediction

Expect the next substantive release to widen file specification coverage again for whatever package family the maintainers find breaking the default discovery, since that has been the content of every non-maintenance release for four years.

Alternatives to DoseFinding and pkglite

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 pkglite.

See all DoseFinding alternatives → · See all pkglite alternatives →

Recent activity from DoseFinding and pkglite

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 5mo agopkgliteMaintainer email and CI workflow updates
  2. 1y agoDoseFindingConditional and predictive power for interim analyses
  3. 1y agoDoseFindingModel averaging arrives for dose-response fitting
  4. 1y agopkgliteHandles Stan-interfacing packages and ML binary formats
  5. 1y agopkgliteExtension dictionary rebuilt from 21,369 CRAN packages
  6. 1y agoDoseFindingPackage moves to openpharma under new maintainership
  7. 2y agopkgliteTest helpers moved to helper.R
  8. 2y agoDoseFindingCompliance update for R-devel
  9. 3y agoDoseFindingpowMCTBinCount bug fix
  10. 3y agopkgliteMore file types recognised; cli dependency dropped
  11. 5y agopkgliteFile collections gain merge, prune, and a tests template

Frequently asked questions

What is the difference between DoseFinding and pkglite?

They serve adjacent needs but don't currently overlap on shipped themes. DoseFinding and pkglite 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 pkglite?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. DoseFinding and pkglite 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 pkglite?

Top pkglite alternatives in Analytics are ranked by recent ship velocity. Browse the "pkglite alternatives" section above for the current picks, or visit /alternatives/pkglite for the full list with editorial commentary on each.