← Back to home
Comparison · Analytics

DoseFinding vs fellingdater

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

DoseFinding vs fellingdater: at a glance

FeatureDoseFindingfellingdater
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdose-response, mcp-mod, clinical-trials, model-averagingdendrochronology, crossdating, archaeology, ropensci
Last editorial update1h ago4h 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 fellingdater?

Went from estimating felling dates to doing the crossdating that produces them.

fellingdater estimates when a tree was felled from sapwood measurements, the core inference in dendrochronological dating of timber. Version 1.0.0 passed rOpenSci review with that scope, and the 2024 releases were mostly about the accompanying JOSS paper and user-supplied sapwood datasets. Version 1.2.0 changed the package's remit substantially, adding an entire trs_* family for tree-ring series handling: crossdating with multiple statistical measures, the Hollstein and Baillie-Pilcher t-value transformations, parallel variation percentages, synthetic series generation, and dated-series plotting.

Read the full fellingdater trajectory →

DoseFinding vs fellingdater: 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.

F
fellingdater
ANALYTICS
0.0

Went from estimating felling dates to doing the crossdating that produces them.

◆ Current state

fellingdater estimates when a tree was felled from sapwood measurements, the core inference in dendrochronological dating of timber. Version 1.0.0 passed rOpenSci review with that scope, and the 2024 releases were mostly about the accompanying JOSS paper and user-supplied sapwood datasets. Version 1.2.0 changed the package's remit substantially, adding an entire trs_* family for tree-ring series handling: crossdating with multiple statistical measures, the Hollstein and Baillie-Pilcher t-value transformations, parallel variation percentages, synthetic series generation, and dated-series plotting.

◆ Where it's heading

The package has expanded backwards along the workflow. It began at the last step — given dated series, estimate the felling date — and 1.2.0 added the step before it, establishing those dates by crossdating in the first place. Version 1.2.1 is early polish on that new surface: axis control, non-syntactic column names, encoding safety in read_fh(). The direction is a single package covering the chain from raw ring widths to a felling-date estimate.

◆ Prediction

Expect the trs_* family to keep accumulating polish and additional crossdating statistics, since it is barely a year old and 1.2.1 was already fixing its plotting and top_n behaviour. Whether the two halves of the package get unified into one workflow interface is the open question the entries do not answer.

Alternatives to DoseFinding and fellingdater

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 fellingdater.

See all DoseFinding alternatives → · See all fellingdater alternatives →

Recent activity from DoseFinding and fellingdater

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

  1. 4mo agofellingdaterPolish for the crossdating plots and file reader
  2. 1y agoDoseFindingConditional and predictive power for interim analyses
  3. 1y agofellingdaterAdds a full crossdating and tree-ring analysis toolkit
  4. 1y agofellingdaterUser-supplied sapwood data works across all functions
  5. 1y agofellingdaterFixes fd_report() with user-defined sapwood files
  6. 1y agoDoseFindingModel averaging arrives for dose-response fitting
  7. 1y agoDoseFindingPackage moves to openpharma under new maintainership
  8. 2y agofellingdaterJOSS paper accepted; citation updated
  9. 2y agofellingdaterAdds a workflow vignette ahead of JOSS submission
  10. 2y agoDoseFindingCompliance update for R-devel
  11. 3y agoDoseFindingpowMCTBinCount bug fix

Frequently asked questions

What is the difference between DoseFinding and fellingdater?

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

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

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