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Comparison · Infra & APIs

eratosthenes vs projoint

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

Shared themes:r-package

eratosthenes vs projoint: at a glance

Featureeratosthenesprojoint
SectorInfra & APIsInfra & APIs
Velocity score2.52.5
Sparks · 30d00
Top themesarchaeology, bayesian-inference, mcmc, input-validationconjoint-analysis, survey-research, qualtrics, cran
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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().

Read the full eratosthenes trajectory →

What is projoint?

projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.

projoint is an R package for analysing conjoint survey experiments, covering Qualtrics import, reshaping, and quantity-of-interest estimation with inter-rater reliability correction. Most of its release history is CRAN admission work — citation formats, DESCRIPTION fields, \value{} tags, vignette cleanups — with four tags backfilled within ninety seconds of each other on 15 July in non-monotonic version order, so neither tag order nor timestamps in this feed track the real sequence. The substantive releases are the ones fixing data-preparation bugs that silently corrupt estimates.

Read the full projoint trajectory →

eratosthenes vs projoint: editorial side-by-side

E
eratosthenes
INFRA · APIS
2.5

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.

P
projoint
INFRA · APIS
2.5

projoint spent a year on CRAN paperwork, then shipped a correctness fix it flagged itself.

◆ Current state

projoint is an R package for analysing conjoint survey experiments, covering Qualtrics import, reshaping, and quantity-of-interest estimation with inter-rater reliability correction. Most of its release history is CRAN admission work — citation formats, DESCRIPTION fields, \value{} tags, vignette cleanups — with four tags backfilled within ninety seconds of each other on 15 July in non-monotonic version order, so neither tag order nor timestamps in this feed track the real sequence. The substantive releases are the ones fixing data-preparation bugs that silently corrupt estimates.

◆ Where it's heading

The maintainer is hardening the path from raw Qualtrics export to estimate, which is where conjoint analysis quietly goes wrong. Three separate releases fix that path: dropped respondent-level weights in organize_data(), repeated-task reshaping in reshape_projoint(), and choice-to-profile mapping in 1.1.3. Each fix now arrives with regression tests and stricter validation rather than just a patch, and 1.1.3 adds an explicit .choice_map so the mapping is auditable instead of inferred.

◆ Prediction

Expect the validation-and-regression-test pattern to keep extending across the import path, with releases continuing to arrive in bursts around CRAN submission rather than on a cadence.

Alternatives to eratosthenes and projoint

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 projoint.

See all eratosthenes alternatives → · See all projoint alternatives →

Recent activity from eratosthenes and projoint

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

  1. 10d agoeratosthenesInput validators added; seq_check() replaced by seq_diag()
  2. 17d agoprojointExplicit .choice_map guards choice-to-profile mapping
  3. 1mo agoprojointCRAN submission housekeeping for DESCRIPTION and examples
  4. 1mo agoprojointCRAN formatting pass; minor make_projoint_data() fix
  5. 1mo agoprojointreshape_projoint() repeated-task bug fixed; validation tightened
  6. 1mo agoprojointCitation metadata updated with the CRAN DOI
  7. 5mo agoprojointorganize_data() no longer drops respondent-level weights
  8. 1y agoeratosthenesArtifact p.d.f. estimation consolidated into gibbs_ad_type()
  9. 1y agoeratosthenesMCMC diagnostics arrive: traceplots, histograms, batch-means MCSE

Frequently asked questions

What is the difference between eratosthenes and projoint?

Both compete on the same themes — r-package — within Infra & APIs. eratosthenes and projoint are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 eratosthenes better than projoint?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eratosthenes and projoint are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 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 projoint?

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