accessr
One R Markdown source, four accessible formats — and a fortnight spent patching around someone else's bug.
A side-by-side editorial comparison of plogr and profileCI — release velocity, themes, recent moves, and the top alternatives to consider.
A logging header for Rcpp packages that sat untouched for nine years, then changed how it switches on
plogr ships a stripped build of the plog C++ logging library as an R package, so other packages with C++ code can log through REprintf() and have output land in the R console rather than stdout. It is a header-only dependency with no R-level API to speak of. Three releases in September 2016 established it; the next arrived in November 2025.
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.
plogr ships a stripped build of the plog C++ logging library as an R package, so other packages with C++ code can log through REprintf() and have output land in the R console rather than stdout. It is a header-only dependency with no R-level API to speak of. Three releases in September 2016 established it; the next arrived in November 2025.
There is almost no trajectory to read here, which is itself the finding — the package was finished in a week and stayed finished. The 2025 release is the first change in nine years and it tightens the activation contract: logging now does nothing unless PLOGR_ENABLE is defined at compile time, so packages depending on it get silence by default rather than unexpected output. A GCC-specific fix for function names in multi-argument template classes lands alongside.
With the activation macro now explicit, dependent packages that assumed logging was on will need to define it; beyond that the entries give no basis for expecting further development.
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.
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.
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.
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 plogr or profileCI.
One R Markdown source, four accessible formats — and a fortnight spent patching around someone else's bug.
The R package that installs Java for you stopped needing an update every time Java ships.
A young ML metrics package rewrote its own backend twice in six months chasing speed.
The AusTraits engine, generalised for anyone's trait database, now links measurements to real specimens.
The toolchain that gets R packages into the browser is optimising for payload size, not features.
Fail2Ban finally ships 1.1.1 after 14 months in beta, with a botched deb package on the way out the door
See all plogr alternatives → · See all profileCI alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. plogr 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. plogr 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.
Top plogr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "plogr alternatives" section above for the current picks, or visit /alternatives/plogr for the full list with editorial commentary on each.
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.