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Comparison · Infra & APIs

profileCI vs quickr

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

Shared themes:r-package

profileCI vs quickr: at a glance

FeatureprofileCIquickr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesprofile-likelihood, confidence-intervals, statistics, numerical-robustnesscompilers, fortran, linear-algebra, parallelism
Last editorial update25m ago31m ago
WebsiteVisit →Visit →

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 →

What is quickr?

quickr's R-to-Fortran compiler now handles matrices, closures and OpenMP.

quickr compiles a subset of R to Fortran and calls it back from R, so numerical code can run without hand-writing C or Fortran. Version 0.3.0 is the release where that subset stops being small: matrix and linear algebra operations lower to the same BLAS/LAPACK that R uses, local closures and sapply() are supported with copy-on-modify semantics preserved, and for loops and sapply() calls can be marked for OpenMP parallelism via declare(parallel()).

Read the full quickr trajectory →

profileCI vs quickr: editorial side-by-side

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.

Q
quickr
INFRA · APIS
0.0

quickr's R-to-Fortran compiler now handles matrices, closures and OpenMP.

◆ Current state

quickr compiles a subset of R to Fortran and calls it back from R, so numerical code can run without hand-writing C or Fortran. Version 0.3.0 is the release where that subset stops being small: matrix and linear algebra operations lower to the same BLAS/LAPACK that R uses, local closures and sapply() are supported with copy-on-modify semantics preserved, and for loops and sapply() calls can be marked for OpenMP parallelism via declare(parallel()).

◆ Where it's heading

The first two releases filled in language basics, control flow, arithmetic operators, multiple return values. Version 0.3.0 shifts to the constructs real numerical code is actually written in, and the compiler work underneath it, nested compilation scopes and block-scoped temporaries, is aimed at large functions and heap-versus-stack control for big temporaries. Toolchain work points the same way: LLVM flang is used on macOS when present, and the minimum R version was lowered to 4.3.0 to widen who can install it.

◆ Prediction

Expect the next releases to keep extending the compilable subset toward the remaining apply-family functions and to build out the parallelism story that declare(parallel()) opens.

Alternatives to profileCI and quickr

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 profileCI or quickr.

See all profileCI alternatives → · See all quickr alternatives →

Recent activity from profileCI and quickr

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

  1. 3mo agoquickrLinear algebra, local closures and OpenMP land in quickr
  2. 6mo agoprofileCICubic spline interpolation replaces a quadratic that could fail
  3. 7mo agoprofileCICRAN 1.0.0 release of profile-likelihood interval computation
  4. 8mo agoquickrNegation, unary operators and multi-array returns compile
  5. 11mo agoquickrLoops, modular arithmetic and RNG integration reach the compiler
  6. 1y agoprofileCIInfinite limits and bounded profiling ranges handled

Frequently asked questions

What is the difference between profileCI and quickr?

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

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

What are the best alternatives to quickr?

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