tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
DoseFinding vs torchvision
A side-by-side editorial comparison of DoseFinding and torchvision — release velocity, themes, recent moves, and the top alternatives to consider.
DoseFinding vs torchvision: 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 torchvision?
R's torchvision is porting PyTorch's vision stack one task at a time — instance segmentation just landed.
torchvision for R has moved past being a thin tensor-transform helper into a task-complete vision library. The last three releases added dataset loaders by the dozen, then face detection and recognition, and now Mask R-CNN for instance segmentation. The 0.9.0 release also splits the COCO detection loader from a new segmentation loader, cutting memory use roughly in half for detection-only work.
DoseFinding vs torchvision: 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.
torchvision
0.0ANALYTICS
R's torchvision is porting PyTorch's vision stack one task at a time — instance segmentation just landed.
◆ Current state
torchvision for R has moved past being a thin tensor-transform helper into a task-complete vision library. The last three releases added dataset loaders by the dozen, then face detection and recognition, and now Mask R-CNN for instance segmentation. The 0.9.0 release also splits the COCO detection loader from a new segmentation loader, cutting memory use roughly in half for detection-only work.
◆ Where it's heading
The pattern is a deliberate walk through PyTorch's torchvision feature matrix: datasets first, then model architectures, then the visualization and transform utilities that make each task usable end to end. Each release breaks a little API to align R naming with upstream PyTorch conventions — `$categories` became `$classes`, `coco_classes()` now matches the 90-class sparse PyTorch layout. Community contributors are doing most of the volume, with maintainers arbitrating the API shape.
◆ Prediction
Expect the next release to fill in the remaining segmentation and detection model families and continue aligning class and label handling with upstream PyTorch, given that every release so far has paired new models with a matching dataset loader.
Alternatives to DoseFinding and torchvision
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 torchvision.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all DoseFinding alternatives → · See all torchvision alternatives →
Recent activity from DoseFinding and torchvision
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agotorchvisionMask R-CNN brings instance segmentation to R torchvision ⚡
- 9mo agotorchvisionFace detection models and 35 RoboFlow datasets land
- 1y agotorchvisionFashion-MNIST, COCO, and a dozen more dataset loaders
- 1y agoDoseFindingConditional and predictive power for interim analyses
- 1y agoDoseFindingModel averaging arrives for dose-response fitting ⚡
- 1y agoDoseFindingPackage moves to openpharma under new maintainership
- 2y agoDoseFindingCompliance update for R-devel
- 3y agoDoseFindingpowMCTBinCount bug fix
Frequently asked questions
What is the difference between DoseFinding and torchvision?
They serve adjacent needs but don't currently overlap on shipped themes. DoseFinding and torchvision 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 torchvision?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. DoseFinding and torchvision 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 torchvision?
Top torchvision alternatives in Analytics are ranked by recent ship velocity. Browse the "torchvision alternatives" section above for the current picks, or visit /alternatives/torchvision for the full list with editorial commentary on each.