paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
Comparison · Analytics
distributional vs treespace
A side-by-side editorial comparison of distributional and treespace — release velocity, themes, recent moves, and the top alternatives to consider.
distributional vs treespace: at a glance
| Feature | distributional | treespace |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 0.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | r-package, probability-distributions, distribution-arithmetic, numerical-methods | phylogenetics, transmission-trees, cran-compliance, maintenance-mode |
| Last editorial update | 4h ago | 48m ago |
| Website | Visit → | Visit → |
What is distributional?
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.
What is treespace?
treespace ships once every year or two, and only when CRAN or a user forces it.
treespace explores and compares sets of phylogenetic and transmission trees, including the tree-distance measures used in outbreak reconstruction. Its release history is entirely reactive: five updates across five years, each triggered by a CRAN policy change, an upstream package removal, or a bug someone reported. The most recent is an Rd cross-reference format patch plus a maintainer email change.
distributional vs treespace: editorial side-by-side
distributional
0.0ANALYTICS
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
◆ Current state
The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.
◆ Where it's heading
The generic-computation thread is the one that matters and it has been building steadily: a Monte Carlo default method for cdf(), has_symmetry() to let algorithms specialise, hdr() moving to exact results for symmetric distributions and 4096 quantiles elsewhere, open-versus-closed support intervals. Version 0.8.0 is where that thread arrives somewhere — arithmetic on arbitrary distributions, with closed forms used when they exist and numerical convolution when they do not. The package is positioning itself as a computational layer rather than a catalogue, which is consistent with how weird and the forecasting packages consume it.
◆ Prediction
Expect the numerical machinery behind dist_convolved() to be reused for other operators, and more generics like has_symmetry() that let downstream algorithms take exact paths when a distribution supports them.
treespace
0.0ANALYTICS
treespace ships once every year or two, and only when CRAN or a user forces it.
◆ Current state
treespace explores and compares sets of phylogenetic and transmission trees, including the tree-distance measures used in outbreak reconstruction. Its release history is entirely reactive: five updates across five years, each triggered by a CRAN policy change, an upstream package removal, or a bug someone reported. The most recent is an Rd cross-reference format patch plus a maintainer email change.
◆ Where it's heading
The package is stable and lightly staffed rather than abandoned — bugs that affect correctness do get fixed, and CRAN deadlines are met. But the 2023 update is the telling one: rather than vendor or replace adephylo when it faced removal, the maintainers disabled two tree-vector methods and marked the loss as hopefully temporary. Two years on, nothing in the feed indicates they came back.
◆ Prediction
The next entry will most likely be another CRAN-compliance patch, on the pattern of four of the last five releases. Whether the Abouheif and sumDD methods ever return is not something these entries give any signal on.
Alternatives to distributional and treespace
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 distributional or treespace.
geodist
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors
errors keeps making uncertainty print the way each scientific field expects.
CMAQ
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls
enpls has not changed its statistics since 2016 — only its website, twice.
grex
grex is a lookup table with a version number — it ships when the annotation moves.
See all distributional alternatives → · See all treespace alternatives →
Recent activity from distributional and treespace
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agodistributionalConditional S3 registration so the package loads on R before 4.3
- 1mo agodistributionalDistribution arithmetic: FFT convolution behind the + and - operators ⚡
- 2mo agodistributionalVectorised p in quantile() for inflated distributions; open brackets on infinite bounds
- 5mo agodistributionalDirichlet and Horseshoe distributions added
- 7mo agodistributionalhas_symmetry() generic, exact HDRs for symmetric distributions
- 11mo agotreespacetreespace patches Rd cross-references for CRAN
- 1y agodistributionalMonte Carlo cdf() default method; g-and-k, g-and-h and extreme-value families
- 2y agotreespacetreespace disables Abouheif and sumDD as adephylo exits CRAN
- 3y agotreespacetreespace fixes vignette build on NA tree names
- 5y agotreespacetreespace fixes dist indexing that broke its tests
- 5y agotreespacetreespace corrects tip label handling in transmission distances
Frequently asked questions
What is the difference between distributional and treespace?
They serve adjacent needs but don't currently overlap on shipped themes. distributional and treespace 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 distributional better than treespace?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributional and treespace 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 distributional?
Top distributional alternatives in Analytics are ranked by recent ship velocity. Browse the "distributional alternatives" section above for the current picks, or visit /alternatives/distributional-r for the full list with editorial commentary on each.
What are the best alternatives to treespace?
Top treespace alternatives in Analytics are ranked by recent ship velocity. Browse the "treespace alternatives" section above for the current picks, or visit /alternatives/treespace-r for the full list with editorial commentary on each.