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Comparison · Infra & APIs

CptNonPar vs ordinalsimr

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

CptNonPar vs ordinalsimr: at a glance

FeatureCptNonParordinalsimr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeschange-point-detection, nonparametric, defaults, preprocessingordinal-data, shiny, simulation, statistical-tests
Last editorial update4h ago2h ago
WebsiteVisit →Visit →

What is CptNonPar?

Nonparametric change point detection swaps p-values for importance scores.

CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.

Read the full CptNonPar trajectory →

What is ordinalsimr?

A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.

ordinalsimr compares ordinal endpoints by simulation — you specify probability distributions, sample sizes and iterations, and it runs the candidate statistical tests against them so you can see which behaves best. It is delivered as a Shiny application with a data-entry grid, and its entire release history spans six days in January 2025: three tags inside 90 minutes on the 20th, then a CRAN-compliance release on the 26th.

Read the full ordinalsimr trajectory →

CptNonPar vs ordinalsimr: editorial side-by-side

C
CptNonPar
INFRA · APIS
0.0

Nonparametric change point detection swaps p-values for importance scores.

◆ Current state

CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.

◆ Where it's heading

The package is tightening the statistical interface it exposes: p-values gave way to importance scores across all three detection functions, manual thresholds became specifiable per lag, and the latest release makes centring and scaling the default preprocessing step. Each change folds a decision the user previously had to make into the package itself.

◆ Prediction

Expect further work on defaults and reporting around the existing MOJO estimators rather than a new detection method.

O
ordinalsimr
INFRA · APIS
0.0

A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.

◆ Current state

ordinalsimr compares ordinal endpoints by simulation — you specify probability distributions, sample sizes and iterations, and it runs the candidate statistical tests against them so you can see which behaves best. It is delivered as a Shiny application with a data-entry grid, and its entire release history spans six days in January 2025: three tags inside 90 minutes on the 20th, then a CRAN-compliance release on the 26th.

◆ Where it's heading

The release bodies are auto-generated pull-request lists covering the repository's whole history, so they read as a build log rather than a changelog: data entry UI, an rhandsontable statistics module, iteration and sample-size modules, binomial confidence intervals, plot tests, and a rename to the current package name late in development. What that log shows is a single-author project built to completion privately and then published all at once, with the public version history existing mainly to satisfy CRAN.

◆ Prediction

With the CRAN submission accepted and no post-release entries in the feed, the next move is most likely a maintenance release; the PR log gives no signal of planned work beyond the tests already implemented.

Alternatives to CptNonPar and ordinalsimr

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 CptNonPar or ordinalsimr.

See all CptNonPar alternatives → · See all ordinalsimr alternatives →

Recent activity from CptNonPar and ordinalsimr

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

  1. 8mo agoCptNonParData centred and scaled by default before detection
  2. 1y agoCptNonParImportance scores replace p-values; per-lag manual thresholds
  3. 1y agoordinalsimrv0.1.3 CRAN submission
  4. 1y agoordinalsimrOrdinal endpoint simulator submitted to CRAN
  5. 1y agoordinalsimrREADME refreshed and DOI added to the citation file
  6. 1y agoordinalsimrDevelopment tag ahead of the CRAN submission
  7. 2y agoCptNonParPaper link updated for CRAN checks
  8. 3y agoCptNonParDescription field and example cleanups

Frequently asked questions

What is the difference between CptNonPar and ordinalsimr?

They serve adjacent needs but don't currently overlap on shipped themes. CptNonPar and ordinalsimr 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.

Is CptNonPar better than ordinalsimr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CptNonPar and ordinalsimr 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.

What are the best alternatives to CptNonPar?

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

What are the best alternatives to ordinalsimr?

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