soilDBdata
soilDBdata exists so soilDB's tests can run without a NASIS connection.
A side-by-side editorial comparison of forecasting and Rho — release velocity, themes, recent moves, and the top alternatives to consider.
HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.
HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.
Rho's release machinery is now more rigorous than the product it ships.
Rho is an R IDE in open prerelease, and its public feed is almost entirely release engineering. The one substantive entry, 0.4.0-dev.39, described capability-based model routing across providers and durable project-scoped agent conversations with per-file Apply/Undo. Everything around it is build candidates and acceptance targets, each gated behind an explicit acceptance record that fails closed.
HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.
The release pattern is maintenance on an eight-year cadence dictated entirely by the surrounding ecosystem: 1.1.1 rebuilt under R 4.0.4, 1.1.2 under R 4.3.2, 1.1.3 under R 4.6.1, each reporting whether the numbers moved. They mostly have not — the recurring note is minor numerical differences confined to the prophet forecasts in vignette('CHILI_prophet'). The only substantive change in the visible history is 1.1.0's methodological tidy-up of the scoring comparisons.
Nothing in these entries points to new functionality; the next release is most likely another vignette rebuild whenever a dependency change or a CRAN check failure forces one.
Rho is an R IDE in open prerelease, and its public feed is almost entirely release engineering. The one substantive entry, 0.4.0-dev.39, described capability-based model routing across providers and durable project-scoped agent conversations with per-file Apply/Undo. Everything around it is build candidates and acceptance targets, each gated behind an explicit acceptance record that fails closed.
The project is building an agentic R IDE but publishing like a regulated release process: signed evidence, CONDITIONAL_GO records, checksums bound to exact commits, limitations named out loud rather than buried. dev.41 exists solely to rehearse the native updater across Windows and macOS, which is the last piece of distribution infrastructure between a dev train and something installable by people who won't build from source. Feature work and shipping work are advancing on separate tracks.
The updater acceptance target points at a 0.4.0 line that can update itself, so the next entry that matters is either dev.40's real publication or the first build not labelled evaluation-only. Whether Windows signing moves off the SignPath trial certificate is the open question these entries leave unanswered.
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 forecasting or Rho.
soilDBdata exists so soilDB's tests can run without a NASIS connection.
collinear has broken its API twice to stop making the user pick thresholds.
nert put fourteen TERN datasets behind one dispatcher and called it stable.
scTypeEval judges single-cell annotations without needing a ground truth to judge them against.
medrobust made its partial-identification bounds usable by giving them confidence intervals.
probmed went from one probabilistic effect size to a family of them in sixteen days.
See all forecasting alternatives → · See all Rho alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Rho is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. 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. Rho is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top forecasting alternatives in Analytics are ranked by recent ship velocity. Browse the "forecasting alternatives" section above for the current picks, or visit /alternatives/forecasting for the full list with editorial commentary on each.
Top Rho alternatives in Analytics are ranked by recent ship velocity. Browse the "Rho alternatives" section above for the current picks, or visit /alternatives/yulab-smu-rho for the full list with editorial commentary on each.