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The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of fossilsim and multimput — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Ecological imputation tooling whose recent work is mostly about not falling over.
multimput handles multiple imputation for ecological monitoring counts, wrapping INLA and glm-style models with aggregation helpers for the follow-up analysis. The mature capability arrived with hurdle models and broader zero-inflated distribution support; recent releases have focused on degenerate inputs — empty data, identical imputations, models that never finish. It shares INBO's checklist packaging machinery with its sibling packages.
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.
multimput handles multiple imputation for ecological monitoring counts, wrapping INLA and glm-style models with aggregation helpers for the follow-up analysis. The mature capability arrived with hurdle models and broader zero-inflated distribution support; recent releases have focused on degenerate inputs — empty data, identical imputations, models that never finish. It shares INBO's checklist packaging machinery with its sibling packages.
The direction is defensive hardening rather than new statistics. Each recent release names a specific way the pipeline failed in practice — an empty join, all-identical imputed values, a runaway model — and closes it. That is characteristic of a package used in production monitoring workflows where the input data cannot be assumed well-behaved.
Expect further edge-case handling in model_impute() and aggregate_impute(); nothing here suggests new model families are queued.
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 fossilsim or multimput.
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 fossilsim alternatives → · See all multimput alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. fossilsim and multimput 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. fossilsim and multimput 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 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.
Top multimput alternatives in Analytics are ranked by recent ship velocity. Browse the "multimput alternatives" section above for the current picks, or visit /alternatives/multimput for the full list with editorial commentary on each.