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Comparison · Infra & APIs

missSBM vs profoc

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

Shared themes:r-package

missSBM vs profoc: at a glance

FeaturemissSBMprofoc
SectorInfra & APIsInfra & APIs
Velocity score2.50.0
Sparks · 30d00
Top themesr-package, network-analysis, stochastic-block-model, missing-dataforecasting, online-learning, r-package, rcpp
Last editorial update2h ago49m 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 profoc?

A forecast combination package that spun its profiler out into its own project

profoc combines probabilistic forecasts online, using the Bernstein online aggregation family with B-spline smoothing over quantiles and time. The recent releases are infrastructure rather than method: 1.3.4 removed a using namespace arma directive for CRAN compliance and closed a timer edge case, 1.3.3 adjusted the integration with rcpptimer against its now-stable 1.2.0 API. The last release to change what users can do was 1.3.0, which exposed the conline C++ class to R and exported init_experts_list(), make_basis_mats(), make_hat_mats() and post_process_model() so the engine can be driven directly.

Read the full profoc trajectory →

missSBM vs profoc: 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
profoc
INFRA · APIS
0.0

A forecast combination package that spun its profiler out into its own project

◆ Current state

profoc combines probabilistic forecasts online, using the Bernstein online aggregation family with B-spline smoothing over quantiles and time. The recent releases are infrastructure rather than method: 1.3.4 removed a using namespace arma directive for CRAN compliance and closed a timer edge case, 1.3.3 adjusted the integration with rcpptimer against its now-stable 1.2.0 API. The last release to change what users can do was 1.3.0, which exposed the conline C++ class to R and exported init_experts_list(), make_basis_mats(), make_hat_mats() and post_process_model() so the engine can be driven directly.

◆ Where it's heading

The direction is toward a reusable C++ core with thin language bindings. The timing code that lived inside profoc was extracted into the standalone rcpptimer package in 1.3.2, deliberately so other R packages and Python projects could use it through cpptimer and cppytimer, and the clock header was reworked in 1.3.1 to maximise the code shared between the R and Python versions. Method work sits earlier in the history - periodic splines and penalties in 1.2.0, the penalty() function in 1.1.0 - while the recent cadence, a single release in the last sixteen months, points at a package the maintainer considers finished.

◆ Prediction

The repeated references to future Python use suggest the next significant work happens outside this package, in the shared C++ components, rather than in profoc's R surface.

Alternatives to missSBM and profoc

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 profoc.

See all missSBM alternatives → · See all profoc alternatives →

Recent activity from missSBM and profoc

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

  1. 26d agomissSBMReplaces raw control lists with missSBM_param(), adds polish()
  2. 6mo agoprofocCRAN compliance fix removing a namespace directive
  3. 1y agoprofocTimer integration updated to the stable rcpptimer API
  4. 2y agoprofocTiming code extracted into the standalone rcpptimer package
  5. 2y agoprofocInteger overflow fix and Welford timing statistics
  6. 2y agoprofocThe conline C++ class opens up to R users
  7. 2y agoprofocQuantile crossing flagged and tidy methods added
  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 profoc?

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

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

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