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Comparison · Infra & APIs

ordinalsimr vs plssem

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

ordinalsimr vs plssem: at a glance

Featureordinalsimrplssem
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesordinal-data, shiny, simulation, statistical-testsstructural-equation-modeling, partial-least-squares, multilevel-models, standard-errors
Last editorial update2h ago7h ago
WebsiteVisit →Visit →

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 →

What is plssem?

plssem took PLS-SEM into multilevel data, then spent two releases making the estimates trustworthy.

plssem is a young R implementation of partial least squares structural equation modelling, three CRAN releases old and shipping monthly. Its distinguishing work is the MC-PLS family — consistent PLS estimators the maintainer extended to mixed-effects designs in June — and the releases since have been about getting standard errors, admissibility and fit measures onto the same footing as the point estimates.

Read the full plssem trajectory →

ordinalsimr vs plssem: editorial side-by-side

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.

P
plssem
INFRA · APIS
0.0

plssem took PLS-SEM into multilevel data, then spent two releases making the estimates trustworthy.

◆ Current state

plssem is a young R implementation of partial least squares structural equation modelling, three CRAN releases old and shipping monthly. Its distinguishing work is the MC-PLS family — consistent PLS estimators the maintainer extended to mixed-effects designs in June — and the releases since have been about getting standard errors, admissibility and fit measures onto the same footing as the point estimates.

◆ Where it's heading

The pattern is capability first, inference second. Multilevel MC-PLSc and MC-OrdPLSc arrived in 0.1.2 together with Monte-Carlo delta-method standard errors and a Polyak-Juditsky extrapolation step; 0.1.3 then extended delta-method errors to redundant parameters and thresholds, optimized their computation, added a loglikelihood-based fit measure and generated dynamic bounds to keep MC-PLS solutions admissible. Admissibility recurs throughout — penalized inadmissible solutions in 0.1.1, variance lower bounds and negative residual variance handling in 0.1.3, and an option to drop inadmissible bootstraps rather than silently include them. The release notes are pull-request lists, so the reasoning behind each change stays in the repository.

◆ Prediction

The MIMIC mode and GLS estimator both landed in the most recent release without the standard-error and fit-measure work that followed earlier additions, so extending inference to cover them is the natural next step. Bootstrap defaults moving to 500 replications suggests runtime is a live constraint and further optimization is likely.

Alternatives to ordinalsimr and plssem

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 ordinalsimr or plssem.

See all ordinalsimr alternatives → · See all plssem alternatives →

Recent activity from ordinalsimr and plssem

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

  1. 1mo agoplssemMIMIC mode, a GLS structural estimator and delta-method thresholds
  2. 2mo agoplssemMC-PLSc and MC-OrdPLSc extend to multilevel and mixed-effects models
  3. 3mo agoplssemParallel bootstrapping, kNN and mean imputation, higher-order constructs
  4. 1y agoordinalsimrv0.1.3 CRAN submission
  5. 1y agoordinalsimrOrdinal endpoint simulator submitted to CRAN
  6. 1y agoordinalsimrREADME refreshed and DOI added to the citation file
  7. 1y agoordinalsimrDevelopment tag ahead of the CRAN submission

Frequently asked questions

What is the difference between ordinalsimr and plssem?

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

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

What are the best alternatives to plssem?

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