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distributions3 vs lineup2

A side-by-side editorial comparison of distributions3 and lineup2 — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

distributions3 vs lineup2: at a glance

Featuredistributions3lineup2
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesr-package, probability-distributions, statistical-modelling, maintainershipsample-mixups, distance-metrics, r-package, bioinformatics
Last editorial update50m ago1h ago
WebsiteVisit →Visit →

What is distributions3?

distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.

An R package giving probability distributions a consistent object interface — d/p/q/r functions, moments, and prodist() methods that extract a fitted distribution from a regression object. Releases are infrequent, roughly one a year, and the last one is largely administrative: Achim Zeileis takes over maintenance from Alex Hayes, with all URLs and documentation updated to match, alongside a fix to incorrect moment calculations reported by a user.

Read the full distributions3 trajectory →

What is lineup2?

lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.

lineup2 provides distance-based tools for detecting sample mix-ups between related datasets — comparing rows and columns of two matrices to find swapped or mislabeled samples. Its visible history is four releases spread across six years, and the capability surface has barely moved since plot_sample() and the propdiff distance arrived in 0.4. Version 0.8 in July 2026 adds a package logo and redefines cores=0 to mean all-but-one core.

Read the full lineup2 trajectory →

distributions3 vs lineup2: editorial side-by-side

D2.5

distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.

◆ Current state

An R package giving probability distributions a consistent object interface — d/p/q/r functions, moments, and prodist() methods that extract a fitted distribution from a regression object. Releases are infrequent, roughly one a year, and the last one is largely administrative: Achim Zeileis takes over maintenance from Alex Hayes, with all URLs and documentation updated to match, alongside a fix to incorrect moment calculations reported by a user.

◆ Where it's heading

The package's growth has come in two modes. Early releases absorbed whole families of distributions from outside contributors — the extreme-value set, Erlang, later the Poisson binomial — while later ones tightened the interface itself with is_discrete() and is_continuous() generics and elementwise type-safety when applying a distribution vector to a numeric vector. The handover is the notable event in the current window: maintenance moves to the author of the surrounding statistical ecosystem this package already integrates with through prodist() and countreg, which suggests the interface work will continue over the distribution-collection work.

◆ Prediction

Expect closer alignment with Zeileis's own packages, with prodist() coverage widening to more model classes; the entries here do not indicate whether new distribution families remain on the agenda.

L
lineup2
ANALYTICS
0.0

lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.

◆ Current state

lineup2 provides distance-based tools for detecting sample mix-ups between related datasets — comparing rows and columns of two matrices to find swapped or mislabeled samples. Its visible history is four releases spread across six years, and the capability surface has barely moved since plot_sample() and the propdiff distance arrived in 0.4. Version 0.8 in July 2026 adds a package logo and redefines cores=0 to mean all-but-one core.

◆ Where it's heading

This is a finished, single-purpose package in maintenance. The substantive changes across the whole window are plotting conveniences and one parallelism default; nothing in the entries points at new distance measures, new input formats, or expanded scope. The release cadence — five years between 0.6 and 0.8 — reads as a tool the author considers done.

◆ Prediction

Further releases are likely to stay small: a plotting option, a parallelism detail, or a check-farm fix. The entries give no signal of planned feature work.

Alternatives to distributions3 and lineup2

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 distributions3 or lineup2.

See all distributions3 alternatives → · See all lineup2 alternatives →

Recent activity from distributions3 and lineup2

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

  1. 24d agodistributions3Maintenance moves to Achim Zeileis; moment calculations corrected
  2. 1mo agolineup2cores=0 now leaves one core free
  3. 10mo agodistributions3ggplot2 compatibility for the plotting functions
  4. 1y agodistributions3Poisson binomial distribution, with a normal-approximation fallback
  5. 3y agodistributions3is_discrete and is_continuous generics, plus elementwise type-safety
  6. 4y agodistributions3Extreme-value family, Erlang, and a plotting generic
  7. 5y agolineup2plot_sample() gains xlim and ylim control
  8. 5y agolineup2plot_sample() and the propdiff distance added
  9. 5y agolineup2Package description revised for CRAN resubmission

Frequently asked questions

What is the difference between distributions3 and lineup2?

Both compete on the same themes — r-package — within Analytics. distributions3 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 distributions3 better than lineup2?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributions3 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 distributions3?

Top distributions3 alternatives in Analytics are ranked by recent ship velocity. Browse the "distributions3 alternatives" section above for the current picks, or visit /alternatives/distributions3-r for the full list with editorial commentary on each.

What are the best alternatives to lineup2?

Top lineup2 alternatives in Analytics are ranked by recent ship velocity. Browse the "lineup2 alternatives" section above for the current picks, or visit /alternatives/lineup2-r for the full list with editorial commentary on each.