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Comparison · Infra & APIs

contagionchannels vs MachineShop

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

Shared themes:r-package

contagionchannels vs MachineShop: at a glance

FeaturecontagionchannelsMachineShop
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeseconometrics, contagion-analysis, cran-submission, r-packagemachine-learning, r-package, model-framework, variable-importance
Last editorial update1h ago1d ago
WebsiteVisit →Visit →

What is contagionchannels?

Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.

contagionchannels reached CRAN on 2026-05-08 with a methodology preprint behind it and a cross-quantilogram lineage visible in its citations. What the release feed does not contain is any description of what the package computes: all three entries document the submission process — a licence field reduced from GPL-3 plus file to plain GPL-3, an arXiv reference rewritten in canonical DOI form, and a base-graphics fallback adjusted on a reviewer's request.

Read the full contagionchannels trajectory →

What is MachineShop?

A mature R modelling framework refining variable importance and resampling controls

MachineShop provides a unified interface over a wide set of R model packages, handling fitting, resampling, performance metrics and variable importance behind one API. Recent releases are narrow and mostly corrective: 3.9.2 removed dead documentation links and fixed a Java parameter in a BART example, 3.9.1 ensured global settings reach compute nodes when varimp() runs in parallel and patched XGBoost model compatibility. The last release with real surface change was 3.9.0, which added offset support to XGBModel and a pool argument to calibration() controlling whether calibration curves are computed on pooled predictions or averaged across resampling iterations.

Read the full MachineShop trajectory →

contagionchannels vs MachineShop: editorial side-by-side

C
contagionchannels
INFRA · APIS
0.0

Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.

◆ Current state

contagionchannels reached CRAN on 2026-05-08 with a methodology preprint behind it and a cross-quantilogram lineage visible in its citations. What the release feed does not contain is any description of what the package computes: all three entries document the submission process — a licence field reduced from GPL-3 plus file to plain GPL-3, an arXiv reference rewritten in canonical DOI form, and a base-graphics fallback adjusted on a reviewer's request.

◆ Where it's heading

There is no product trajectory to read here yet, only a submission one, and it is unusually well documented — each entry names the reviewer or check that prompted it and quotes the feedback verbatim. That transparency is the one signal available: the maintainer treats review rounds as releases worth publishing rather than squashing. Any judgement about direction will have to wait for a release that changes the package rather than its metadata.

◆ Prediction

With CRAN acceptance secured, the next release should be the first to carry actual methodological content; until one appears, there is not enough in these entries to say where the package is heading.

M
MachineShop
INFRA · APIS
0.0

A mature R modelling framework refining variable importance and resampling controls

◆ Current state

MachineShop provides a unified interface over a wide set of R model packages, handling fitting, resampling, performance metrics and variable importance behind one API. Recent releases are narrow and mostly corrective: 3.9.2 removed dead documentation links and fixed a Java parameter in a BART example, 3.9.1 ensured global settings reach compute nodes when varimp() runs in parallel and patched XGBoost model compatibility. The last release with real surface change was 3.9.0, which added offset support to XGBModel and a pool argument to calibration() controlling whether calibration curves are computed on pooled predictions or averaged across resampling iterations.

◆ Where it's heading

Development has concentrated on variable importance and resampling rather than on adding models. 3.8.0 restructured the VariableImportance class to record which method and metric produced it, with an update() method to migrate objects from earlier versions, and extended term-specific p-values to Cox, POLR and survival regression models. 3.7.0 added grouped and stratified resampling to the control objects. The pace has slowed markedly - four releases in the last two years against six in the two before - and the recent content is compatibility work against XGBoost, parsnip, ggplot2 and recipes.

◆ Prediction

Expect the deprecated calibration pooling behaviour to be removed in a future release as the notes state, with the intervening versions continuing to track upstream model package changes.

Alternatives to contagionchannels and MachineShop

Other Infra & APIs 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 contagionchannels or MachineShop.

See all contagionchannels alternatives → · See all MachineShop alternatives →

Recent activity from contagionchannels and MachineShop

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

  1. 3mo agocontagionchannelsv0.1.3 — first CRAN release
  2. 3mo agocontagionchannelsv0.1.2: switch arXiv reference in DESCRIPTION to canonical DOI form
  3. 3mo agocontagionchannelsv0.1.1: address CRAN reviewer feedback (License) + add arXiv reference
  4. 5mo agoMachineShopDocumentation link cleanup and a BART example fix
  5. 8mo agoMachineShopGlobal settings now reach compute nodes during parallel varimp
  6. 1y agoMachineShopOffset support for XGBoost and per-iteration calibration curves
  7. 1y agoMachineShopVariable importance objects record their own method and metric
  8. 2y agoMachineShopGrouped and stratified resampling in the control objects
  9. 3y agoMachineShopBackward compatibility for older model objects

Frequently asked questions

What is the difference between contagionchannels and MachineShop?

Both compete on the same themes — r-package — within Infra & APIs. contagionchannels and MachineShop 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 contagionchannels better than MachineShop?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. contagionchannels and MachineShop 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to contagionchannels?

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

What are the best alternatives to MachineShop?

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