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Comparison · Analytics
distributions3 vs epiworldR
A side-by-side editorial comparison of distributions3 and epiworldR — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
distributions3 vs epiworldR: at a glance
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.
What is epiworldR?
epiworldR is a thin R shell whose releases track the C++ simulator underneath it
Almost every release here is a version bump of the underlying epiworld C++ library, wrapped and pushed to CRAN. The substantive R-side work is narrow and consistent: exposing simulation outputs that were already computed but not reachable from R — outbreak size, active cases, hospitalizations and their savers. The newest release addresses an AddressSanitizer finding, which is the kind of thing CRAN checks surface on a compiled package.
distributions3 vs epiworldR: editorial side-by-side
distributions3
2.5ANALYTICS
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.
epiworldR
0.0ANALYTICS
epiworldR is a thin R shell whose releases track the C++ simulator underneath it
◆ Current state
Almost every release here is a version bump of the underlying epiworld C++ library, wrapped and pushed to CRAN. The substantive R-side work is narrow and consistent: exposing simulation outputs that were already computed but not reachable from R — outbreak size, active cases, hospitalizations and their savers. The newest release addresses an AddressSanitizer finding, which is the kind of thing CRAN checks surface on a compiled package.
◆ Where it's heading
The R package's job is staying current with the simulator and satisfying CRAN, not evolving its own interface. What direction it has shows in which model outputs get exposed next, and in a steady tidy-up of the build — the custom configure script was dropped in favour of R's built-in C++17 and OpenMP settings, and test coverage has been filled in across several releases with automated assistance.
◆ Prediction
Expect the next release to track another epiworld version bump, with any R-side addition most likely being one more exposed metric or saver, following the pattern of get_hospitalizations and get_outbreak_size.
Alternatives to distributions3 and epiworldR
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 epiworldR.
tidytransit
tidytransit tracks the GTFS spec as it grows, one reader and one router feature at a time.
oblicubes
A tiny grid renderer for oblique-projection cubes, complete since its first release.
biocro
BioCro swapped an unstable iteration for real root finders, changing what its crop models compute.
redist
redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.
epiflows
epiflows has shipped four releases in eight years, none of which changed the code.
See all distributions3 alternatives → · See all epiworldR alternatives →
Recent activity from distributions3 and epiworldR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 24d agodistributions3Maintenance moves to Achim Zeileis; moment calculations corrected
- 4mo agoepiworldR0.14.0 addresses an AddressSanitizer finding
- 5mo agoepiworldRWrapper bumped to track a new epiworld version
- 5mo agoepiworldRBuild drops the custom configure script for R's C++17 and OpenMP settings
- 6mo agoepiworldRepiworld bumped to 0.11.2
- 7mo agoepiworldRTests updated at CRAN's request
- 7mo agoepiworldRHospitalizations, outbreak size and active cases exposed to R
- 10mo agodistributions3ggplot2 compatibility for the plotting functions
- 1y agodistributions3Poisson binomial distribution, with a normal-approximation fallback
- 3y agodistributions3is_discrete and is_continuous generics, plus elementwise type-safety
- 4y agodistributions3Extreme-value family, Erlang, and a plotting generic
Frequently asked questions
What is the difference between distributions3 and epiworldR?
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 epiworldR?
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 epiworldR?
Top epiworldR alternatives in Analytics are ranked by recent ship velocity. Browse the "epiworldR alternatives" section above for the current picks, or visit /alternatives/epiworldr for the full list with editorial commentary on each.