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distributions3 vs GDPuc

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

Shared themes:r-package

distributions3 vs GDPuc: at a glance

Featuredistributions3GDPuc
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesr-package, probability-distributions, empirical-distributions, likelihood-inferenceeconomics, currency-conversion, data-harmonisation, r-package
Last editorial update7h ago4d ago
WebsiteVisit →Visit →

What is distributions3?

distributions3 0.3.0 adds sample-based distributions and likelihood derivatives

An R package giving probability distributions a consistent object interface - d/p/q/r functions, moments, and prodist() methods that pull a fitted distribution out of a regression object. Version 0.3.0 is the first substantive release under Achim Zeileis's maintenance, and it widens what a distribution is allowed to be: Empirical() represents a distribution by a random sample rather than by parameters, and numerical fallbacks now fill in cdf(), pdf(), quantile(), random() and the moments for any object that implements only some of them. New score() and hessian() generics compute first and second derivatives of the log-likelihood with respect to the parameters, analytically for a few distributions and numerically for the rest.

Read the full distributions3 trajectory →

What is GDPuc?

A GDP unit converter that keeps widening which currencies and deflators it will accept

GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.

Read the full GDPuc trajectory →

distributions3 vs GDPuc: editorial side-by-side

D6.3

distributions3 0.3.0 adds sample-based distributions and likelihood derivatives

◆ Current state

An R package giving probability distributions a consistent object interface - d/p/q/r functions, moments, and prodist() methods that pull a fitted distribution out of a regression object. Version 0.3.0 is the first substantive release under Achim Zeileis's maintenance, and it widens what a distribution is allowed to be: Empirical() represents a distribution by a random sample rather than by parameters, and numerical fallbacks now fill in cdf(), pdf(), quantile(), random() and the moments for any object that implements only some of them. New score() and hessian() generics compute first and second derivatives of the log-likelihood with respect to the parameters, analytically for a few distributions and numerically for the rest.

◆ Where it's heading

Growth used to arrive as new distribution families contributed from outside - the extreme-value set, Erlang, later the Poisson binomial. This release changes the axis: alongside two new distributions it adds an inference layer (score, hessian) and a forecast-evaluation one (crps() methods against scoringRules), which are capabilities about distributions rather than more of them. Dependency weight is being cut at the same time, with ggplot2 demoted to Suggests and glue replaced by base R sprintf().

◆ Prediction

With numeric fallbacks and the derivative generics in place, expect analytic score() and hessian() methods to be filled in across more of the distribution catalogue. The constructor-default change is the likeliest source of follow-up fixes, since calls like Poisson() now return a length-zero distribution where they previously errored.

G
GDPuc
ANALYTICS
0.0

A GDP unit converter that keeps widening which currencies and deflators it will accept

◆ Current state

GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.

◆ Where it's heading

The direction is toward accepting messier inputs from more callers. Successive releases have relaxed assumptions the package originally made — that a year column exists, that column names follow a convention, that PPP data is available for every country — and each relaxation is driven by an integration rather than by an economics question. The one genuinely methodological addition is the CPI as an alternative deflator, which arrived in 1.0.0.

◆ Prediction

Conversion factors are versioned World Bank data and were last refreshed in 1.0.0, so a data update is the most likely content of the next substantive release, alongside continued fixes to the column-detection logic that has now produced bugs twice.

Alternatives to distributions3 and GDPuc

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 GDPuc.

See all distributions3 alternatives → · See all GDPuc alternatives →

Recent activity from distributions3 and GDPuc

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

  1. 7h agodistributions3Empirical distributions, plus score and hessian generics
  2. 29d agodistributions3Maintenance moves to Achim Zeileis; moment calculations corrected
  3. 8mo agoGDPucFix iso3c column selection
  4. 9mo agoGDPucxCU unit introduced; madrat caching and region mappings supported
  5. 10mo agodistributions3ggplot2 compatibility for the plotting functions
  6. 1y agodistributions3Poisson binomial distribution, with a normal-approximation fallback
  7. 1y agoGDPucBetter column detection; magclass objects without years accepted
  8. 2y agoGDPucCPI added as an alternative deflator; constant euro conversion
  9. 3y agoGDPucSuggests field cleaned for CRAN compliance
  10. 3y agoGDPucCorrect conversion factors returned by return_cfs
  11. 3y agodistributions3is_discrete and is_continuous generics, plus elementwise type-safety
  12. 4y agodistributions3Extreme-value family, Erlang, and a plotting generic

Frequently asked questions

What is the difference between distributions3 and GDPuc?

Both compete on the same themes — r-package — within Analytics. distributions3 is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 GDPuc?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributions3 is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 GDPuc?

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