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Comparison · Infra & APIs

modsem vs ordinalsimr

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

modsem vs ordinalsimr: at a glance

Featuremodsemordinalsimr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesstructural-equation-modeling, latent-interactions, lms-estimator, mplus-interopordinal-data, shiny, simulation, statistical-tests
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is modsem?

modsem is grinding latent interaction models toward Mplus parity, one estimator at a time.

modsem fits interaction and quadratic effects between latent variables in R, offering both product-indicator approaches (modsem_pi) and distribution-analytic ones (modsem_da, covering LMS and QML). Releases land roughly monthly and are dense pull-request lists. The recent line is dominated by the LMS approach: gradient refactors, parallel E-steps, composite construct support, and careful handling of residual covariances between latent variables.

Read the full modsem 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 →

modsem vs ordinalsimr: editorial side-by-side

M
modsem
INFRA · APIS
0.0

modsem is grinding latent interaction models toward Mplus parity, one estimator at a time.

◆ Current state

modsem fits interaction and quadratic effects between latent variables in R, offering both product-indicator approaches (modsem_pi) and distribution-analytic ones (modsem_da, covering LMS and QML). Releases land roughly monthly and are dense pull-request lists. The recent line is dominated by the LMS approach: gradient refactors, parallel E-steps, composite construct support, and careful handling of residual covariances between latent variables.

◆ Where it's heading

Two things are being closed at once. The modelling gap — composites and formative constructs, categorical estimators, residual covariances in every direction, multigroup and clustered designs — brings modsem toward what commercial Mplus users expect, and the package's Mplus bridge is maintained alongside it, now with unique file IDs and a cleanup argument. The performance gap is the other: memoised H0, parallel E-step, optimized gradients and Hessians for both LMS and QML, all aimed at the distribution-analytic estimators that are expensive by construction. Convention borrowing from lavaan continues in message formatting and standard-error defaults.

◆ Prediction

The 1.0.20 and 1.0.21 releases both spent effort on residual covariances between endogenous and exogenous latent variables across estimation, prediction and standardization, and that thread has not obviously closed. The arrival of a second contributor moving MplusAutomation to Suggests suggests dependency trimming continues.

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 modsem 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 modsem or ordinalsimr.

See all modsem alternatives → · See all ordinalsimr alternatives →

Recent activity from modsem and ordinalsimr

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

  1. 1mo agomodsemUnique Mplus file IDs, cleanup argument, LMS gradient refactor
  2. 2mo agomodsemComposite constructs for LMS, plus MC-LMS-CAT and MC-QML-CAT
  3. 3mo agomodsemPrint spacing and a partial-match fix in getSortedEtas()
  4. 4mo agomodsemCategorical argument for Mplus; partial support for the <~ operator
  5. 5mo agomodsemConsistent three-way interaction estimates with rcs=TRUE
  6. 6mo agomodsemSecondary pruning and a forward-difference Hessian mode
  7. 1y agoordinalsimrv0.1.3 CRAN submission
  8. 1y agoordinalsimrOrdinal endpoint simulator submitted to CRAN
  9. 1y agoordinalsimrREADME refreshed and DOI added to the citation file
  10. 1y agoordinalsimrDevelopment tag ahead of the CRAN submission

Frequently asked questions

What is the difference between modsem and ordinalsimr?

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

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

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