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ardlverse vs enpls

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

Shared themes:r-package

ardlverse vs enpls: at a glance

Featureardlverseenpls
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeseconometrics, panel-data, ardl, r-packagepartial-least-squares, ensemble-learning, chemometrics, maintenance-mode
Last editorial update5h ago1h ago
WebsiteVisit →Visit →

What is ardlverse?

An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.

A small R package for autoregressive distributed lag models, with only three releases on record. The first two were administrative — a CRAN version note and a Zenodo metadata update. The third, 2.0.0, is a correction release built entirely from an external audit of panel_ardl() against Stata's xtpmg, and it is the only entry here with substantive content.

Read the full ardlverse trajectory →

What is enpls?

enpls has not changed its statistics since 2016 — only its website, twice.

enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.

Read the full enpls trajectory →

ardlverse vs enpls: editorial side-by-side

A
ardlverse
ANALYTICS
0.0

An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.

◆ Current state

A small R package for autoregressive distributed lag models, with only three releases on record. The first two were administrative — a CRAN version note and a Zenodo metadata update. The third, 2.0.0, is a correction release built entirely from an external audit of panel_ardl() against Stata's xtpmg, and it is the only entry here with substantive content.

◆ Where it's heading

The package's direction is now set by verification against an established reference implementation rather than by feature work. The seven fixes bring panel_ardl() into strict alignment with the original Pesaran, Shin and Smith framework, and the most serious of them is structural: internal regressions used lm.fit(), which unlike lm() does not append an intercept, so every short-run regression across the PMG, MG and DFE estimators was forced through the origin. Design matrices now carry a column of ones and DFE reconstructs the grand-mean intercept to match standard fixed-effects output.

◆ Prediction

Expect the next releases to extend the same audit approach to the remaining estimators, since a package that has been validated against xtpmg on one function invites the same question about the rest.

E
enpls
ANALYTICS
0.0

enpls has not changed its statistics since 2016 — only its website, twice.

◆ Current state

enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.

◆ Where it's heading

The statistical work finished around version 5.6, which added cross-validation fold control and fixed component selection when the maximum was left unspecified. Everything since has kept the package installable and its docs online. The 2025 release arriving the same day as sibling package grex, with the same two fixes, confirms the pattern: these are maintainer sweeps across a portfolio, not attention to enpls specifically.

◆ Prediction

The next release will almost certainly be another CRAN or tooling fix. Six consecutive infrastructure-only releases across nine years give no basis for expecting new methods.

Alternatives to ardlverse and enpls

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 ardlverse or enpls.

See all ardlverse alternatives → · See all enpls alternatives →

Recent activity from ardlverse and enpls

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

  1. 1mo agoardlverseSeven panel_ardl fixes after an audit against Stata's xtpmg
  2. 5mo agoardlverseZenodo metadata updated with ORCID
  3. 5mo agoardlverseardlverse v1.1.3
  4. 1y agoenplsenpls 6.1.1 moves pkgdown to GitHub Actions
  5. 7y agoenplsenpls 6.1 adopts tidyverse code style
  6. 8y agoenplsenpls 6.0 changes the documentation URL
  7. 8y agoenplsenpls 5.9 drops Google Fonts from vignettes
  8. 9y agoenplsenpls 5.8 updates gallery images, enables HTTPS
  9. 9y agoenplsenpls 5.7 adds a pkgdown site and Windows CI

Frequently asked questions

What is the difference between ardlverse and enpls?

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

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

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

What are the best alternatives to enpls?

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