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Comparison · Infra & APIs

contagionchannels vs FoRecoML

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

Shared themes:r-package

contagionchannels vs FoRecoML: at a glance

FeaturecontagionchannelsFoRecoML
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeseconometrics, contagion-analysis, cran-submission, r-packageforecasting, machine-learning, hierarchical-reconciliation, time-series
Last editorial update1h ago1h 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 FoRecoML?

The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.

FoRecoML brings machine-learning approaches to forecast reconciliation across cross-sectional, temporal, and cross-temporal frameworks through csrml(), terml(), and ctrml(). It reached CRAN in April 2026 and has since spent both releases integrating with FoReco rather than expanding its own method set: results are now FoReco's foreco objects, and print() and summary() report framework, approach, problem dimensions, features, training sample size, combination matrix, and trained models.

Read the full FoRecoML trajectory →

contagionchannels vs FoRecoML: 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.

F
FoRecoML
INFRA · APIS
0.0

The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.

◆ Current state

FoRecoML brings machine-learning approaches to forecast reconciliation across cross-sectional, temporal, and cross-temporal frameworks through csrml(), terml(), and ctrml(). It reached CRAN in April 2026 and has since spent both releases integrating with FoReco rather than expanding its own method set: results are now FoReco's foreco objects, and print() and summary() report framework, approach, problem dimensions, features, training sample size, combination matrix, and trained models.

◆ Where it's heading

This package is being built as a satellite, not a competitor. Adopting FoReco's exported new_foreco_class() constructor within days of that class appearing means FoRecoML results drop straight into the same print, summary, plot, and components methods as analytically reconciled ones — which is what makes machine-learning and classical reconciliation directly comparable in a single workflow. The 1.1.1 argument-validation work landed in the same minute as the equivalent change in FoReco, so the two are being maintained as one release train.

◆ Prediction

With the integration work done, the next release is more likely to add or expose machine-learning approaches than to keep reshaping output; the structured summary already enumerates features and trained models, which suggests inspection tooling is where attention has been.

Alternatives to contagionchannels and FoRecoML

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 FoRecoML.

See all contagionchannels alternatives → · See all FoRecoML alternatives →

Recent activity from contagionchannels and FoRecoML

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

  1. 1mo agoFoRecoMLStructured print and summary for fitted reconciliation models
  2. 1mo agoFoRecoMLAdopts FoReco's foreco class for all reconciliation output
  3. 3mo agocontagionchannelsv0.1.3 — first CRAN release
  4. 3mo agocontagionchannelsv0.1.2: switch arXiv reference in DESCRIPTION to canonical DOI form
  5. 3mo agocontagionchannelsv0.1.1: address CRAN reviewer feedback (License) + add arXiv reference
  6. 3mo agoFoRecoMLMachine-learning forecast reconciliation arrives on CRAN

Frequently asked questions

What is the difference between contagionchannels and FoRecoML?

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

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

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