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The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of EpiNow2 and fossilsim — release velocity, themes, recent moves, and the top alternatives to consider.
EpiNow2 unified its model interface, then went back to deepen the estimators behind it
EpiNow2 estimates reproduction numbers, infections and delay distributions from incomplete epidemiological reporting data. 1.8.0 was the structural turning point: every main modelling function now returns a consistent S3 object with `fit`, `args` and `observations`, reachable through shared accessors. The releases either side of it work on estimator quality — accumulation of irregularly reported data in 1.7.0, and a substantial expansion of `estimate_truncation()` in 1.9.0.
A fossil-record simulator that quietly grew a trait-evolution engine.
FossilSim is a mature R package for simulating fossil records on phylogenetic trees, and its release cadence reflects that: long gaps punctuated by a single capability addition. The last four releases span three years, with the most recent being a compatibility sync to its companion Shiny front-end rather than new functionality. The core simulation surface has been stable since 2022.
EpiNow2 estimates reproduction numbers, infections and delay distributions from incomplete epidemiological reporting data. 1.8.0 was the structural turning point: every main modelling function now returns a consistent S3 object with `fit`, `args` and `observations`, reachable through shared accessors. The releases either side of it work on estimator quality — accumulation of irregularly reported data in 1.7.0, and a substantial expansion of `estimate_truncation()` in 1.9.0.
The package spent this window paying down interface debt and is now extending from the tidier base. Options that existed only for `estimate_infections()` have been propagated outward: `estimate_truncation()` gained the full `dist_spec` delay families, `obs_opts()` observation model selection between Poisson and negative binomial, and the `likelihood` and `return_likelihood` settings that make prior-only fits and loo-compatible output possible. Hardcoded assumptions are being replaced by specifiable ones in the same motion — the truncation model's additive noise term was a fixed `sigma ~ normal(0, 1)` prior and is now a `dist_spec` argument.
Expect the remaining modelling functions to keep converging on the shared options interface, since the last two releases have each moved another function onto it. A new `estimate_dist()` for interval-censored linelist data suggests delay estimation is the area still gaining surface.
FossilSim is a mature R package for simulating fossil records on phylogenetic trees, and its release cadence reflects that: long gaps punctuated by a single capability addition. The last four releases span three years, with the most recent being a compatibility sync to its companion Shiny front-end rather than new functionality. The core simulation surface has been stable since 2022.
The arc runs from sampling mechanics toward simulating what the organisms actually were. Version 2.2.0 taught the package to handle occurrence data for occurrence birth-death models; 2.3.0 then added trait simulation under Mk, BM and OU, which is a different kind of output than fossil ages. Since then the work has been maintenance and keeping the FossilSimShiny GUI in step, suggesting the authors consider the current model set feature-complete.
The pairing of the 2.3.3 release with a FossilSimShiny version bump points to the GUI, not the library, as where the next visible work lands. The entries do not show enough activity to predict a specific new model family.
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 EpiNow2 or fossilsim.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all EpiNow2 alternatives → · See all fossilsim alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. EpiNow2 and fossilsim 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. EpiNow2 and fossilsim 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.
Top EpiNow2 alternatives in Analytics are ranked by recent ship velocity. Browse the "EpiNow2 alternatives" section above for the current picks, or visit /alternatives/epinow2 for the full list with editorial commentary on each.
Top fossilsim alternatives in Analytics are ranked by recent ship velocity. Browse the "fossilsim alternatives" section above for the current picks, or visit /alternatives/fossilsim-r for the full list with editorial commentary on each.