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Comparison · Infra & APIs

mdatools vs ordinalsimr

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

mdatools vs ordinalsimr: at a glance

Featuremdatoolsordinalsimr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeschemometrics, spectroscopy, classification, multiway-analysisordinal-data, shiny, simulation, statistical-tests
Last editorial update7h ago2h ago
WebsiteVisit →Visit →

What is mdatools?

mdatools spun out its cross-validation method, then came back for three-way data.

mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.

Read the full mdatools 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 →

mdatools vs ordinalsimr: editorial side-by-side

M
mdatools
INFRA · APIS
0.0

mdatools spun out its cross-validation method, then came back for three-way data.

◆ Current state

mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.

◆ Where it's heading

The shape of the package has been managed deliberately rather than allowed to sprawl. Procrustes cross-validation grew large enough to warrant its own package and was moved out to pcv in 0.14.0; preprocessing was consolidated in 0.12.0 into a composable prep() framework rather than a set of loose functions. Around that, the recurring work is numerical: a more stable SIMPLS implementation, cross-validation rewritten to accept user-supplied segment indices, prep.savgol() and prep.alsbasecorr() rewritten for speed, and now the baseline iteration default raised to match the web applications the maintainer also runs.

◆ Prediction

Three-way DD-SIMCA arrives with two decompositions and no companion regression or resolution methods for multiway data, so extending the multiway path to the rest of the toolkit is the obvious follow-up. The alignment of defaults with the maintainer's web applications suggests those two codebases will keep being reconciled.

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 mdatools 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 mdatools or ordinalsimr.

See all mdatools alternatives → · See all ordinalsimr alternatives →

Recent activity from mdatools and ordinalsimr

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

  1. 1mo agomdatoolsDD-SIMCA classification arrives for three-way data
  2. 5mo agomdatoolsv. 0.15.0
  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 agomdatoolsData frames converted to matrices automatically for model training
  8. 3y agomdatoolscv.scope lets centering and scaling follow the global or local set
  9. 3y agomdatoolsProcrustes cross-validation moves out to its own pcv package
  10. 3y agomdatoolsgetRegcoeffs() fixed for unscaled models; ipls() gains a full mode

Frequently asked questions

What is the difference between mdatools and ordinalsimr?

They serve adjacent needs but don't currently overlap on shipped themes. mdatools 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 mdatools better than ordinalsimr?

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

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