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Comparison · Infra & APIs

missSBM vs projoint

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

Shared themes:r-package

missSBM vs projoint: at a glance

FeaturemissSBMprojoint
SectorInfra & APIsInfra & APIs
Velocity score2.52.5
Sparks · 30d00
Top themesr-package, network-analysis, stochastic-block-model, missing-dataconjoint-analysis, survey-research, qualtrics, cran
Last editorial update1d ago59m ago
WebsiteVisit →Visit →

What is missSBM?

missSBM returns after four dormant years with a stricter API and a new refinement step.

The package fits stochastic block models to networks with missing data, covering both missing-at-random and informative sampling designs. After a run of releases from 2019 to 2022, the feed goes quiet until this year's 1.1.0, which breaks the control interface, exposes the block split and merge operations as testable instance methods, and adds a node-swap refinement pass that runs after variational convergence.

Read the full missSBM 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 →

missSBM vs projoint: editorial side-by-side

M
missSBM
INFRA · APIS
2.5

missSBM returns after four dormant years with a stricter API and a new refinement step.

◆ Current state

The package fits stochastic block models to networks with missing data, covering both missing-at-random and informative sampling designs. After a run of releases from 2019 to 2022, the feed goes quiet until this year's 1.1.0, which breaks the control interface, exposes the block split and merge operations as testable instance methods, and adds a node-swap refinement pass that runs after variational convergence.

◆ Where it's heading

The new release is maintenance-driven in the best sense: it targets the parts of the codebase that were hard to test or easy to misuse. Replacing free-form control lists with a function of named, defaulted arguments turns silent typos into errors, and pulling the exploration logic out of the collection class makes the search algorithm independently testable without changing it. The polish step addresses a known weakness, reaching individually misclassified nodes that split and merge moves cannot fix.

◆ Prediction

Given the gap before this release, the near-term question is whether the cadence resumes at all; the refactoring it contains would support further algorithmic work if it does.

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 missSBM 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 missSBM or projoint.

See all missSBM alternatives → · See all projoint alternatives →

Recent activity from missSBM and projoint

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

  1. 17d agoprojointExplicit .choice_map guards choice-to-profile mapping
  2. 27d agomissSBMReplaces raw control lists with missSBM_param(), adds polish()
  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. 3y agomissSBMAdapts to Matrix 1.4-2 and fixes HTML5 documentation
  9. 4y agomissSBMFixes linking against nloptR 2.0.0
  10. 5y agomissSBMRelaxes CRAN test tolerances to avoid random failures
  11. 5y agomissSBMRewrites optimisation in C++ armadillo with sparse matrices
  12. 5y agomissSBMRenames core functions and interfaces with the sbm package

Frequently asked questions

What is the difference between missSBM and projoint?

Both compete on the same themes — r-package — within Infra & APIs. missSBM 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 missSBM better than projoint?

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

Top missSBM alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "missSBM alternatives" section above for the current picks, or visit /alternatives/misssbm 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.