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Comparison · Infra & APIs

modsem vs usmap

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

modsem vs usmap: at a glance

Featuremodsemusmap
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesstructural-equation-modeling, latent-interactions, lms-estimator, mplus-interopcartography, sf, data-packaging, fips
Last editorial update4h 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 usmap?

Ten years in, US mapping splits its data out and finally adds Puerto Rico.

usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.

Read the full usmap trajectory →

modsem vs usmap: 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.

U
usmap
INFRA · APIS
0.0

Ten years in, US mapping splits its data out and finally adds Puerto Rico.

◆ Current state

usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.

◆ Where it's heading

The package has separated what it draws from how it draws, and that separation is what makes the recent releases possible: annual map vintages ship in usmapdata without touching usmap, and Puerto Rico could be backfilled into every existing year at once. The remaining work is coverage and defaults rather than architecture, and the Puerto Rico exclusion default is already governed by an environment variable rather than a code change.

◆ Prediction

Expect the annual map vintage to keep arriving through usmapdata, with usmap itself changing only where a new territory or a projection default needs handling.

Alternatives to modsem and usmap

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 usmap.

See all modsem alternatives → · See all usmap alternatives →

Recent activity from modsem and usmap

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. 11mo agousmapPuerto Rico added across every usmap function and map year
  8. 1y agousmapdata_year parameter threaded through the plotting functions
  9. 2y agousmapPopulation and poverty data refreshed; ggplot2 3.5 legend fix
  10. 2y agousmapMap data becomes sf; usmap_transform() returns geometry
  11. 2y agousmapDocumentation links updated
  12. 2y agousmapMap data extracted to a companion usmapdata package

Frequently asked questions

What is the difference between modsem and usmap?

They serve adjacent needs but don't currently overlap on shipped themes. modsem and usmap 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 usmap?

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

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