pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of rsofun and smam — release velocity, themes, recent moves, and the top alternatives to consider.
An ecosystem model starts tracking carbon isotopes and land-use change.
rsofun wraps the P-model and BiomeE vegetation models in R with Fortran cores, covering photosynthesis, water balance and forest demography, plus Bayesian calibration. The 5.1.0 release is the first in the window to widen what the models simulate rather than reorganise them. Before it, the history is renaming, cost-function rewrites and output-format consistency work.
Animal-movement models in R, where new stochastic processes arrive years apart.
smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.
rsofun wraps the P-model and BiomeE vegetation models in R with Fortran cores, covering photosynthesis, water balance and forest demography, plus Bayesian calibration. The 5.1.0 release is the first in the window to widen what the models simulate rather than reorganise them. Before it, the history is renaming, cost-function rewrites and output-format consistency work.
The direction is from a calibration harness toward a model that can answer different questions: isotope fractionation now comes out of the P-model, BiomeE handles land use and land-use change, and forcing can be recycled when a simulation outruns its data. Version stamps are unreliable here, with a v5.0 tag carrying only a build fix and predating v4.4, so the arc reads better through content than through numbering.
The isotope work is explicitly unfinished, with a constant atmospheric signature standing in for daily d13c forcing, so the next likely step is accepting that as model input.
smam fits statistical models of animal movement, covering moving-resting processes with and without measurement error, moving-resting-handling, and moving-moving processes, with simulation, point estimation and variance estimation for each. The last three releases are pure upkeep: guarding Rf_error calls after an Rcpp update, a maintainer email change, and a compiler warning fix. The substantive work in this window is 0.7.0, which added estimate and vcov generics across all fit functions, and 0.6.0, which added the moving-moving process.
This package grows by adding process models, and it does so rarely. Between the moving-moving process in 2021 and now, the only interface-level change has been the 0.7.0 generics that gave every fit function a common way to retrieve estimates and their covariance, which is consolidation of an accumulated collection rather than expansion of it. The three releases since are entirely reactive to toolchain and CRAN pressure, and they arrive in step with the maintainer's other package coga, which received the same Rcpp guard within twenty minutes on the same day.
Expect further releases to be CRAN and Rcpp maintenance unless a new movement process is published, which is what has historically prompted a minor version here. The generics added in 0.7.0 give any future process model a ready-made interface to slot into.
Other Infra & APIs 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 rsofun or smam.
The protist reference database keeps widening past the rRNA gene it was built on.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
Conservation planning absorbs the literature's target-setting rules as code.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. rsofun and smam 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. rsofun and smam 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 Infra & APIs products to evaluate alongside.
Top rsofun alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "rsofun alternatives" section above for the current picks, or visit /alternatives/rsofun for the full list with editorial commentary on each.
Top smam alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "smam alternatives" section above for the current picks, or visit /alternatives/smam for the full list with editorial commentary on each.