pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of rsofun and statpsych — 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.
A statistics catalogue for psychology that grows by the release and rarely changes shape.
statpsych supplies confidence intervals, hypothesis tests, power calculations and sample-size planning for the designs psychology researchers actually run, exposed as several hundred small named functions rather than a modelling framework. Version 2.0.0 adds eight functions across logistic model performance, Kendall tau-a intervals and sample sizes, intraclass correlation testing, Geary kurtosis and Mann-Whitney power, and retires three names in favour of generalised replacements. The major version number reflects those removals rather than a change in how the package is used.
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.
statpsych supplies confidence intervals, hypothesis tests, power calculations and sample-size planning for the designs psychology researchers actually run, exposed as several hundred small named functions rather than a modelling framework. Version 2.0.0 adds eight functions across logistic model performance, Kendall tau-a intervals and sample sizes, intraclass correlation testing, Geary kurtosis and Mann-Whitney power, and retires three names in favour of generalised replacements. The major version number reflects those removals rather than a change in how the package is used.
Every release in this window is the same shape: a list of new functions, occasionally a rename. The package grows by filling cells in a grid of estimand, design and inferential goal, and 2.0.0 is notable only for finally deleting the three names its generalised replacements had superseded. That makes it a reference library whose value is coverage and stability, not direction, and the entries give no sign of that changing.
Expect the accretion to continue along the same axes, with sample-size and power counterparts filled in for estimands that currently have interval functions but no planning ones. The 2.0.0 deletions suggest occasional consolidation passes when a generalised function makes older specific ones redundant.
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 statpsych.
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.
See all rsofun alternatives → · See all statpsych alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. rsofun and statpsych 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 statpsych 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 statpsych alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "statpsych alternatives" section above for the current picks, or visit /alternatives/statpsych for the full list with editorial commentary on each.