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Comparison · Infra & APIs

contagionchannels vs profileCI

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

Shared themes:r-package

contagionchannels vs profileCI: at a glance

FeaturecontagionchannelsprofileCI
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeseconometrics, contagion-analysis, cran-submission, r-packageprofile-likelihood, confidence-intervals, statistics, numerical-robustness
Last editorial update1h ago2d 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 profileCI?

Profile-likelihood confidence intervals for any fitted model, in a feed that publishes out of order.

profileCI computes confidence intervals from the profile log-likelihood for user-supplied fitted models, generalising what confint.glm does for GLMs to any model object exposing a log-likelihood. The releases handle the awkward cases that make profiling fail in practice: infinite limits when the profile never drops below the interval threshold, bounded profiling ranges, and interpolation that breaks down near the limits. Only convex log-likelihoods are supported, so disjoint intervals are out of scope by design.

Read the full profileCI trajectory →

contagionchannels vs profileCI: 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.

P
profileCI
INFRA · APIS
0.0

Profile-likelihood confidence intervals for any fitted model, in a feed that publishes out of order.

◆ Current state

profileCI computes confidence intervals from the profile log-likelihood for user-supplied fitted models, generalising what confint.glm does for GLMs to any model object exposing a log-likelihood. The releases handle the awkward cases that make profiling fail in practice: infinite limits when the profile never drops below the interval threshold, bounded profiling ranges, and interpolation that breaks down near the limits. Only convex log-likelihoods are supported, so disjoint intervals are out of scope by design.

◆ Where it's heading

Work is concentrated on numerical reliability rather than scope: 1.1.1 replaced quadratic with monotonic cubic spline interpolation because the quadratic form could fail, and corrected parameter values stored near the confidence limits. The feed publishes these out of order, with the v1.0.0 entry stamped six months after v1.1.0 and carrying the package's full description rather than a changelog, so release order should be read from the version numbers rather than the dates. The same maintainer's revdbayes has been in pure maintenance across this period, which places profileCI as the more active project.

◆ Prediction

Expect further robustness work at the profiling limits and more logLikFn methods for common model classes, following the nls method added in 1.1.0.

Alternatives to contagionchannels and profileCI

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 profileCI.

See all contagionchannels alternatives → · See all profileCI alternatives →

Recent activity from contagionchannels and profileCI

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. 6mo agoprofileCICubic spline interpolation replaces a quadratic that could fail
  5. 7mo agoprofileCICRAN 1.0.0 release of profile-likelihood interval computation
  6. 1y agoprofileCIInfinite limits and bounded profiling ranges handled

Frequently asked questions

What is the difference between contagionchannels and profileCI?

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

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

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