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Comparison · Infra & APIs

artoo vs modsem

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

Shared themes:r-packages

artoo vs modsem: at a glance

Featureartoomodsem
SectorInfra & APIsInfra & APIs
Velocity score2.50.0
Sparks · 30d00
Top themesr-packages, clinical-trials, cdisc, data-conversionstructural-equation-modeling, latent-interactions, lms-estimator, mplus-interop
Last editorial update1h ago44m ago
WebsiteVisit →Visit →

What is artoo?

artoo makes any-to-any clinical dataset conversion lossless by construction.

artoo reads and writes SAS XPORT, CDISC Dataset-JSON, NDJSON, Parquet and RDS around one canonical metadata model, so a conversion between any two formats carries labels, CDISC types, lengths, display formats, controlled-terminology references and sort keys intact. It is pure R with no SAS or Java runtime. It reached CRAN at 0.1.1 and has spent 0.1.2 and 0.1.3 on the character-encoding edges.

Read the full artoo trajectory →

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 →

artoo vs modsem: editorial side-by-side

A
artoo
INFRA · APIS
2.5

artoo makes any-to-any clinical dataset conversion lossless by construction.

◆ Current state

artoo reads and writes SAS XPORT, CDISC Dataset-JSON, NDJSON, Parquet and RDS around one canonical metadata model, so a conversion between any two formats carries labels, CDISC types, lengths, display formats, controlled-terminology references and sort keys intact. It is pure R with no SAS or Java runtime. It reached CRAN at 0.1.1 and has spent 0.1.2 and 0.1.3 on the character-encoding edges.

◆ Where it's heading

Recent work is all about text that does not survive a format change. 0.1.3 adds an invalid_encoding dimension to artoo_checks() that flags bytes which are not valid UTF-8 before a writer aborts on them, accepts the SAS OEM/DOS encoding names, and gives the writers on_invalid = "translit" and "fold" so smart punctuation and accented characters resolve to pinned ASCII instead of failing. The fold tables ship as data specifically so the result is identical on every platform, which is the same determinism argument behind C-locale row sorting in 0.1.0.

◆ Prediction

The new WLATIN1-to-UTF-8 migration article and the width warning on write_xpt() point the next attention at length and truncation semantics rather than at additional formats. These notes name no further target format.

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.

Alternatives to artoo and modsem

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 artoo or modsem.

See all artoo alternatives → · See all modsem alternatives →

Recent activity from artoo and modsem

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

  1. 28d agoartooEncoding checks and translit/fold modes for the writers
  2. 1mo agomodsemUnique Mplus file IDs, cleanup argument, LMS gradient refactor
  3. 1mo agoartoonoLD check fix; codec unchanged
  4. 2mo agoartooInitial CRAN release after resubmission
  5. 2mo agoartooLossless any-to-any CDISC dataset conversion in pure R
  6. 2mo agomodsemComposite constructs for LMS, plus MC-LMS-CAT and MC-QML-CAT
  7. 3mo agomodsemPrint spacing and a partial-match fix in getSortedEtas()
  8. 4mo agomodsemCategorical argument for Mplus; partial support for the <~ operator
  9. 5mo agomodsemConsistent three-way interaction estimates with rcs=TRUE
  10. 6mo agomodsemSecondary pruning and a forward-difference Hessian mode

Frequently asked questions

What is the difference between artoo and modsem?

Both compete on the same themes — r-packages — within Infra & APIs. artoo 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 artoo better than modsem?

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

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

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.