L1centrality
A graph-centrality package that spent 2026 making its existing measures usable at scale, then went quiet.
Comparison · Infra & APIs
eratosthenes vs profileCI
A side-by-side editorial comparison of eratosthenes and profileCI — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
eratosthenes vs profileCI: at a glance
What is eratosthenes?
eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.
eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().
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.
eratosthenes vs profileCI: editorial side-by-side
eratosthenes
2.5INFRA · APIS
eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.
◆ Current state
eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().
◆ Where it's heading
The package is moving from research code to something a non-author can run. Consolidating estimation behind one function, then wrapping every input class in a validator, are the two steps that make failures legible instead of cryptic, and the diagnostics added earlier serve the same end for the sampler itself. Nothing in the window changes the underlying model; the work is all about making it usable and its output checkable.
◆ Prediction
With inputs validated and diagnostics in place, the next release is more likely to extend the constraint or assemblage modelling than to keep reworking the interface, though the feed's three sparse tags give little to read a cadence from.
profileCI
0.0INFRA · APIS
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 eratosthenes 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 eratosthenes or profileCI.
exametrika
A test-theory package that grew into a graphical-model toolkit, now spending its releases paying down the API debt that growth created.
nuggets
nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.
projoint
projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.
dqcheckr
dqcheckr adds drift analysis, then removes the YAML a user had to hand-write.
lifecontingencies
An actuarial mainstay spends its releases on CI plumbing, not on new mathematics.
See all eratosthenes alternatives → · See all profileCI alternatives →
Recent activity from eratosthenes and profileCI
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 10d agoeratosthenesInput validators added; seq_check() replaced by seq_diag()
- 6mo agoprofileCICubic spline interpolation replaces a quadratic that could fail
- 7mo agoprofileCICRAN 1.0.0 release of profile-likelihood interval computation
- 1y agoprofileCIInfinite limits and bounded profiling ranges handled
- 1y agoeratosthenesArtifact p.d.f. estimation consolidated into gibbs_ad_type()
- 1y agoeratosthenesMCMC diagnostics arrive: traceplots, histograms, batch-means MCSE
Frequently asked questions
What is the difference between eratosthenes and profileCI?
Both compete on the same themes — r-package — within Infra & APIs. eratosthenes is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is eratosthenes better than profileCI?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eratosthenes is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to eratosthenes?
Top eratosthenes alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "eratosthenes alternatives" section above for the current picks, or visit /alternatives/eratosthenes 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.