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mev vs moderndive

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

Shared themes:r-package

mev vs moderndive: at a glance

Featuremevmoderndive
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesextreme-value-theory, threshold-selection, statistical-estimation, api-redesignstatistics-education, webr, regression, r-package
Last editorial update44m ago5h ago
WebsiteVisit →Visit →

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 →

What is moderndive?

The ModernDive teaching package learns to render inside the browser that runs its own textbook

moderndive supplies the datasets, regression helpers and ggplot geoms used by the ModernDive introductory statistics textbook. Its release history is mostly dataset accumulation — much of it contributed by students in batches — punctuated by occasional function work. The latest release is different: it fixes View() so it renders inside webR, the in-browser R that powers the book's live exercises, and reworks the regression helpers to survive in-formula transformations.

Read the full moderndive trajectory →

mev vs moderndive: editorial side-by-side

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.

M
moderndive
ANALYTICS
2.5

The ModernDive teaching package learns to render inside the browser that runs its own textbook

◆ Current state

moderndive supplies the datasets, regression helpers and ggplot geoms used by the ModernDive introductory statistics textbook. Its release history is mostly dataset accumulation — much of it contributed by students in batches — punctuated by occasional function work. The latest release is different: it fixes View() so it renders inside webR, the in-browser R that powers the book's live exercises, and reworks the regression helpers to survive in-formula transformations.

◆ Where it's heading

The package is following the textbook's second edition into the browser. webR has no pandoc, so the DT htmlwidget path the package relied on cannot produce the self-contained HTML the notebook cell needs, and the auto-print path was gated behind interactive() being false — meaning students working through the live exercises saw an explanatory message where a table should have been. Building a static HTML table and pushing it through webR's viewer hook is a small change with a direct effect on whether the book's interactive mode works at all.

◆ Prediction

With the book's v2 datasets landed and the browser rendering path fixed, the remaining friction is most likely in other functions that assume a desktop R session.

Alternatives to mev and moderndive

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 mev or moderndive.

See all mev alternatives → · See all moderndive alternatives →

Recent activity from mev and moderndive

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

  1. 12d agomoderndiveView() renders in webR; regression helpers survive formula transforms
  2. 9mo agomevTwo more threshold-selection routines slot into the new scheme
  3. 9mo agomevThreshold, stability and dependence functions regrouped under prefixes
  4. 1y agomoderndiveDatasets and tidy_summary() for the second edition
  5. 2y agomevBoundary-case likelihood fixes, bundled with the prior release's notes
  6. 2y agomoderndiveAlmond and flight datasets for the inference chapters
  7. 3y agomevGEV and GP distribution functions brought in-house to drop evd
  8. 4y agomoderndiveTen student-curated teaching datasets
  9. 4y agomevFour max-stable families, fixed parameters and threshold diagnostics
  10. 4y agomoderndiveAlaska flights subset added
  11. 5y agomoderndiveCleaner regression tables and an explicit conf.level argument

Frequently asked questions

What is the difference between mev and moderndive?

Both compete on the same themes — r-package — within Analytics. moderndive is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is mev better than moderndive?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. moderndive is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

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.

What are the best alternatives to moderndive?

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