mice
mice can finally predict, not just estimate, from multiply imputed data.
Comparison · Infra & APIs
midr vs modsem
A side-by-side editorial comparison of midr and modsem — release velocity, themes, recent moves, and the top alternatives to consider.
midr vs modsem: at a glance
What is midr?
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
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.
midr vs modsem: editorial side-by-side
midr
0.0INFRA · APIS
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
◆ Current state
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
◆ Where it's heading
The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.
◆ Prediction
With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.
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 midr 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 midr or modsem.
PINstimation
A market-microstructure toolkit that keeps adding estimators as the papers land.
nzilbb.vowels
A vowel-analysis package trimming dependencies after an email address got it archived.
emuR
The R half of the EMU speech database system, fixing what was quietly broken.
BAS
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots
tidyplots keeps rebuilding its own foundations rather than layering around them.
Recent activity from midr 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
- 5mo agomidrMatrix responses bring multi-class and survival models in scope ⚡
- 6mo agomodsemSecondary pruning and a forward-difference Hessian mode
- 7mo agomidrFirst CRAN release: MID surrogate models for black-box explanation ⚡
- 7mo agomidrMemory-efficient fitting for large design matrices
Frequently asked questions
What is the difference between midr and modsem?
They serve adjacent needs but don't currently overlap on shipped themes. midr 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 midr better than modsem?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. midr 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 midr?
Top midr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "midr alternatives" section above for the current picks, or visit /alternatives/midr 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.