vcfR
A genomics workhorse whose visible release feed stops dead in mid-2020.
Comparison · Infra & APIs
eatGADS vs modsem
A side-by-side editorial comparison of eatGADS and modsem — release velocity, themes, recent moves, and the top alternatives to consider.
eatGADS vs modsem: at a glance
What is eatGADS?
Labelled survey data, one edge case at a time — and the edge cases are all about missing values.
eatGADS manages labelled survey and assessment data in R, the SPSS-descended world of value labels, missing tags, and metadata that has to survive every transformation. Releases are roughly annual and dense. The current one, 1.2.0, is about doing things in bulk: changing value labels, missing tags, and recodings across many variables at once rather than one at a time.
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.
eatGADS vs modsem: editorial side-by-side
eatGADS
0.0INFRA · APIS
Labelled survey data, one edge case at a time — and the edge cases are all about missing values.
◆ Current state
eatGADS manages labelled survey and assessment data in R, the SPSS-descended world of value labels, missing tags, and metadata that has to survive every transformation. Releases are roughly annual and dense. The current one, 1.2.0, is about doing things in bulk: changing value labels, missing tags, and recodings across many variables at once rather than one at a time.
◆ Where it's heading
The feature line and the bug line point at the same thing from opposite directions. Features keep widening the aperture — multiple variables, multiple ID variables, comparisons within a single object — while fixes keep landing on the collision between value labels and missing codes, where a value can be labelled NA, duplicated, or tagged and transformed away. extractData() and extractData2() alone absorbed eight separate correctness fixes across the last two releases. The package is hardening the one place labelled data is most likely to lose information.
◆ Prediction
Expect the bulk-operation pattern to spread to the remaining single-variable functions, and continued fixes wherever value labels and missing tags interact; the extraction path is clearly still the weak point.
modsem
0.0INFRA · APIS
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 eatGADS 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 eatGADS or modsem.
dialr
The R phone-number package stopped only parsing numbers and started asking them where they are.
ggVennDiagram
A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.
ordinalsimr
A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.
transltr
A new R localization package that reached CRAN and immediately downgraded itself to experimental.
hereR
An R client for HERE's location APIs, shaped almost entirely by what the vendor exposes next.
See all eatGADS alternatives → · See all modsem alternatives →
Recent activity from eatGADS and modsem
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomodsemUnique Mplus file IDs, cleanup argument, LMS gradient refactor
- 2mo agomodsemComposite constructs for LMS, plus MC-LMS-CAT and MC-QML-CAT
- 3mo agomodsemPrint spacing and a partial-match fix in getSortedEtas()
- 4mo agomodsemCategorical argument for Mplus; partial support for the <~ operator
- 5mo agomodsemConsistent three-way interaction estimates with rcs=TRUE
- 6mo agomodsemSecondary pruning and a forward-difference Hessian mode
- 1y agoeatGADSValue labels, missings, and recodes go multi-variable
- 1y agoeatGADSTibble import and within-object difference inspection
- 3y agoeatGADSVariable clone, create, insert, and auto-recode round out the toolkit
Frequently asked questions
What is the difference between eatGADS and modsem?
They serve adjacent needs but don't currently overlap on shipped themes. eatGADS and modsem 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 eatGADS better than modsem?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eatGADS and modsem 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 eatGADS?
Top eatGADS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "eatGADS alternatives" section above for the current picks, or visit /alternatives/eatgads 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.