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fastglm vs lavaanExtra

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

Shared themes:r-package

fastglm vs lavaanExtra: at a glance

FeaturefastglmlavaanExtra
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstatistical-computing, generalized-linear-models, cpp, r-packager-package, structural-equation-modeling, lavaan, apa-reporting
Last editorial update8h ago1h ago
WebsiteVisit →Visit →

What is fastglm?

A fast GLM solver stops being one function and becomes a count-model family

fastglm ran C++ IRLS for standard generalized linear models for six years with almost no releases. In May 2026 it added three top-level model types — negative binomial with jointly estimated dispersion, hurdle, and zero-inflated — each with the entire fitting driver in C++ rather than an R loop around a C++ kernel. The following release generalised Firth bias reduction to every standard family across dense, sparse and streaming backends.

Read the full fastglm trajectory →

What is lavaanExtra?

SEM reporting helpers converging on APA output, one CRAN resubmission at a time.

lavaanExtra provides shorthand syntax and formatted output around lavaan structural equation models - write_lavaan() to build model strings, and nice_* functions for fit tables, plots, and modification indices. Three of the six visible releases exist only to satisfy CRAN resubmission: a unicode problem, a dependency version check, tests running without suggested packages. The substance sits in 0.1.5, 0.1.8, and 0.1.9.

Read the full lavaanExtra trajectory →

fastglm vs lavaanExtra: editorial side-by-side

F
fastglm
ANALYTICS
0.0

A fast GLM solver stops being one function and becomes a count-model family

◆ Current state

fastglm ran C++ IRLS for standard generalized linear models for six years with almost no releases. In May 2026 it added three top-level model types — negative binomial with jointly estimated dispersion, hurdle, and zero-inflated — each with the entire fitting driver in C++ rather than an R loop around a C++ kernel. The following release generalised Firth bias reduction to every standard family across dense, sparse and streaming backends.

◆ Where it's heading

The package changed what it is. Through 0.0.3 it was a drop-in replacement for glm() competing on speed; from 0.1.0 it targets the models people leave base R for — MASS::glm.nb, pscl::hurdle, pscl::zeroinfl — and reimplements their full estimation loops natively. The 0.1.1 follow-up is consolidation on that new surface: Firth generalised past binomial logit, SQUAREM acceleration on the zero-inflation EM driver, and a run of clamping guards and initialization fixes on the families most prone to overflow.

◆ Prediction

The numerical-stability work in 0.1.1 clusters on Tweedie and the inverse and sqrt link families, which suggests those paths are the newest and least exercised — expect further correctness fixes there before new model types.

L
lavaanExtra
ANALYTICS
0.0

SEM reporting helpers converging on APA output, one CRAN resubmission at a time.

◆ Current state

lavaanExtra provides shorthand syntax and formatted output around lavaan structural equation models - write_lavaan() to build model strings, and nice_* functions for fit tables, plots, and modification indices. Three of the six visible releases exist only to satisfy CRAN resubmission: a unicode problem, a dependency version check, tests running without suggested packages. The substance sits in 0.1.5, 0.1.8, and 0.1.9.

◆ Where it's heading

The package generalises its own vocabulary as it goes: lavaan_ind() became lavaan_defined() once it turned out to extract any user-defined parameter, and lavaan_cov() was split so lavaan_cor() covers actual correlations. Methodological positions are taken alongside the API - dropping the estimate argument from lavaan_reg() to force reporting both standardized and unstandardized values, and updating the RMSEA benchmark to Schreiber (2017). Rémi Thériault maintains it next to rempsyc, which formats output to match. Note that 0.1.5 restates the whole 0.1.4.x development series in one body.

◆ Prediction

The pattern points to another nice_* helper aimed at a reporting step that currently needs hand formatting, arriving with the usual CRAN resubmission behind it.

Alternatives to fastglm and lavaanExtra

Other Analytics 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 fastglm or lavaanExtra.

See all fastglm alternatives → · See all lavaanExtra alternatives →

Recent activity from fastglm and lavaanExtra

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

  1. 2mo agofastglmFirth generalised to all families, plus SQUAREM and stability fixes
  2. 3mo agofastglmCRAN release 0.1.0
  3. 2y agolavaanExtraCRAN resubmission for a unicode problem
  4. 2y agolavaanExtralavaan_ind renamed to lavaan_defined; thresholds supported
  5. 2y agolavaanExtranice_modindices flags redundant items
  6. 3y agolavaanExtraSuggested dependency versions checked correctly
  7. 3y agolavaanExtraTests run without suggested dependencies
  8. 3y agolavaanExtraFit benchmarks updated and correlations split from covariances
  9. 4y agofastglmC++ headers exposed for linking
  10. 7y agofastglmFirst CRAN release of the C++ IRLS solver

Frequently asked questions

What is the difference between fastglm and lavaanExtra?

Both compete on the same themes — r-package — within Analytics. fastglm and lavaanExtra 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 fastglm better than lavaanExtra?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fastglm and lavaanExtra 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 Analytics products to evaluate alongside.

What are the best alternatives to fastglm?

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

What are the best alternatives to lavaanExtra?

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