mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of modsem and netdiffuseR — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Network diffusion analysis returns from a seven-year gap able to track several behaviours at once
netdiffuseR analyses how behaviours spread through networks — exposure, adoption timing, thresholds, and simulation of diffusion processes. Its feed has a hole: four releases from 2024 to 2026 sit directly on top of three from 2016 and 2017, with the intervening versions absent. The current line is being maintained by a widening group of contributors and, at 1.24.0, was explicitly brought back to CRAN.
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.
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.
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.
netdiffuseR analyses how behaviours spread through networks — exposure, adoption timing, thresholds, and simulation of diffusion processes. Its feed has a hole: four releases from 2024 to 2026 sit directly on top of three from 2016 and 2017, with the intervening versions absent. The current line is being maintained by a widening group of contributors and, at 1.24.0, was explicitly brought back to CRAN.
The recent releases read as institutional rather than exploratory: CI fixes, CRAN-readiness passes, contributed PRs from new names, bundled teaching datasets. The one structural move is 1.23.0, named for multi-adoption, which alongside a refactor of the exposure and rdiffnet internals adds a function for splitting behaviours apart — the package handling several diffusing behaviours where its object model previously carried one.
With CRAN presence restored and a dataset for a teaching game added in the newest release, the near-term direction looks like classroom and workshop use rather than new method surface. Whether multi-adoption gets its own analysis functions, rather than a splitter, is the open question these notes do not answer.
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 netdiffuseR.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all modsem alternatives → · See all netdiffuseR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. modsem and netdiffuseR 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. modsem and netdiffuseR 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.
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.
Top netdiffuseR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "netdiffuseR alternatives" section above for the current picks, or visit /alternatives/netdiffuser for the full list with editorial commentary on each.