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lavaanExtra vs mev

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

Shared themes:r-package

lavaanExtra vs mev: at a glance

FeaturelavaanExtramev
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, structural-equation-modeling, lavaan, apa-reportingextreme-value-theory, threshold-selection, statistical-estimation, api-redesign
Last editorial update54m ago2h ago
WebsiteVisit →Visit →

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 →

What is mev?

An extreme-value toolkit reorganised its whole API into prefixed families and tripled its estimator count.

mev provides likelihood-based inference for univariate and multivariate extreme value models — threshold selection, shape estimation, tail dependence and max-stable simulation. Version 2.0 was a deliberate reorganisation: every threshold-selection routine now carries a thselect. prefix, every stability plot a tstab. prefix, and every extremal-dependence measure an xdep. prefix, with the old names deprecated but mostly still working. The same release added a large batch of estimators — Stein-weighted GPD, roughly a dozen shape estimators, second-order regular variation, L-moment GPD and Weissman quantiles.

Read the full mev trajectory →

lavaanExtra vs mev: editorial side-by-side

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.

M
mev
ANALYTICS
0.0

An extreme-value toolkit reorganised its whole API into prefixed families and tripled its estimator count.

◆ Current state

mev provides likelihood-based inference for univariate and multivariate extreme value models — threshold selection, shape estimation, tail dependence and max-stable simulation. Version 2.0 was a deliberate reorganisation: every threshold-selection routine now carries a thselect. prefix, every stability plot a tstab. prefix, and every extremal-dependence measure an xdep. prefix, with the old names deprecated but mostly still working. The same release added a large batch of estimators — Stein-weighted GPD, roughly a dozen shape estimators, second-order regular variation, L-moment GPD and Weissman quantiles.

◆ Where it's heading

The package is consolidating into a reference implementation of the extreme-value literature rather than a collection of one-off routines. Sixteen threshold-selection methods now share standardised arguments and their own plot and print methods with automatic selection, which is the tell: the goal is comparability across methods, not just availability. Dependency reduction runs alongside, with distribution functions written in-package to drop evd and Rsolnp replacing nloptr in earlier releases.

◆ Prediction

Version 2.1 continued adding threshold-selection routines within the new naming scheme, so the next release most likely follows the same pattern — more estimators fitted to the established prefixes, plus fixes to the 2.0 renaming. The entries give no sign of a further structural change.

Alternatives to lavaanExtra and mev

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 lavaanExtra or mev.

See all lavaanExtra alternatives → · See all mev alternatives →

Recent activity from lavaanExtra and mev

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

  1. 9mo agomevTwo more threshold-selection routines slot into the new scheme
  2. 9mo agomevThreshold, stability and dependence functions regrouped under prefixes
  3. 2y agomevBoundary-case likelihood fixes, bundled with the prior release's notes
  4. 2y agolavaanExtraCRAN resubmission for a unicode problem
  5. 2y agolavaanExtralavaan_ind renamed to lavaan_defined; thresholds supported
  6. 2y agolavaanExtranice_modindices flags redundant items
  7. 3y agolavaanExtraSuggested dependency versions checked correctly
  8. 3y agolavaanExtraTests run without suggested dependencies
  9. 3y agolavaanExtraFit benchmarks updated and correlations split from covariances
  10. 3y agomevGEV and GP distribution functions brought in-house to drop evd
  11. 4y agomevFour max-stable families, fixed parameters and threshold diagnostics

Frequently asked questions

What is the difference between lavaanExtra and mev?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lavaanExtra and mev 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 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.

What are the best alternatives to mev?

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