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DoseFinding vs sftime

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

DoseFinding vs sftime: at a glance

FeatureDoseFindingsftime
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdose-response, mcp-mod, clinical-trials, model-averagingspatiotemporal, r-spatial, interoperability, tidyverse-integration
Last editorial update59m 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 sftime?

The spatiotemporal companion to sf, moving at the pace of the packages around it.

sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.

Read the full sftime trajectory →

DoseFinding vs sftime: 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.

S
sftime
ANALYTICS
0.0

The spatiotemporal companion to sf, moving at the pace of the packages around it.

◆ Current state

sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.

◆ Where it's heading

The package's job is to be interoperable, so its releases follow whatever the surrounding spatial and tidyverse packages do. The dplyr_reconstruct() work is the clearest example of why that matters: inheriting sf's method caused column binding to silently return an sf object where an sftime object was expected, which is the kind of class-preservation bug that only surfaces two steps downstream. Development is sparse, roughly one release a year.

◆ Prediction

Expect further conversion methods as new spatiotemporal classes appear in the R spatial ecosystem, and continued tracking of dplyr and tidyr generics. The entries do not indicate any planned change to the sftime class itself.

Alternatives to DoseFinding and sftime

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 sftime.

See all DoseFinding alternatives → · See all sftime alternatives →

Recent activity from DoseFinding and sftime

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

  1. 3mo agosftimeExamples switched to the native R pipe
  2. 11mo agosftimeFixes the cubble namespace version check
  3. 1y agoDoseFindingConditional and predictive power for interim analyses
  4. 1y agoDoseFindingModel averaging arrives for dose-response fitting
  5. 1y agosftimeConverts from spatstat, sftrack and cubble objects
  6. 1y agoDoseFindingPackage moves to openpharma under new maintainership
  7. 2y agoDoseFindingCompliance update for R-devel
  8. 3y agoDoseFindingpowMCTBinCount bug fix

Frequently asked questions

What is the difference between DoseFinding and sftime?

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

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

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