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mev vs simlandr

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

Shared themes:r-package

mev vs simlandr: at a glance

Featuremevsimlandr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesextreme-value-theory, threshold-selection, statistical-estimation, api-redesignr-package, dynamical-systems, visualization, api-consolidation
Last editorial update2h ago53m 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 simlandr?

Potential landscape tooling settling onto standard R generics after two rounds of renaming.

simlandr builds potential landscape plots from simulations of dynamic systems, with barrier-height calculations and batch simulation grids. Its three substantive releases are all consolidation: parameters renamed, functions renamed, defaults removed. By 0.3.0 the bespoke accessors had been replaced by ggplot2's autolayer() and base summary(), and the package carried print, summary, and plot methods for its own classes.

Read the full simlandr trajectory →

mev vs simlandr: 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.

S
simlandr
ANALYTICS
0.0

Potential landscape tooling settling onto standard R generics after two rounds of renaming.

◆ Current state

simlandr builds potential landscape plots from simulations of dynamic systems, with barrier-height calculations and batch simulation grids. Its three substantive releases are all consolidation: parameters renamed, functions renamed, defaults removed. By 0.3.0 the bespoke accessors had been replaced by ggplot2's autolayer() and base summary(), and the package carried print, summary, and plot methods for its own classes.

◆ Where it's heading

Every release trades a package-specific name for a conventional one - var and par became arg and ele, get_geom() became an autolayer() method, get_barrier_height() became a summary() method, hash_big.matrix became hash_big_matrix. The one methodological change, an adjusted minimal energy path algorithm, arrived inside a release otherwise full of renames. Removing default values for barrier calculation because they were often unsuitable reads as the maintainer deciding the defaults were doing harm.

◆ Prediction

The feed stops at 0.3.0 in late 2022, mid-consolidation; these entries give no indication of what followed, if anything did.

Alternatives to mev and simlandr

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 simlandr.

See all mev alternatives → · See all simlandr alternatives →

Recent activity from mev and simlandr

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. 3y agomevGEV and GP distribution functions brought in-house to drop evd
  5. 3y agosimlandrAccessors replaced by autolayer and summary methods
  6. 3y agosimlandrroxygen2 updated for HTML5 compatibility
  7. 4y agomevFour max-stable families, fixed parameters and threshold diagnostics
  8. 4y agosimlandrBatch simulation arguments renamed; energy path algorithm adjusted
  9. 4y agosimlandrManual improved and a test function added
  10. 5y agosimlandrPackage cleaned for CRAN compatibility

Frequently asked questions

What is the difference between mev and simlandr?

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

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

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