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Comparison · Analytics
bootStateSpace vs forecasting
A side-by-side editorial comparison of bootStateSpace and forecasting — release velocity, themes, recent moves, and the top alternatives to consider.
bootStateSpace vs forecasting: at a glance
What is bootStateSpace?
A parametric bootstrap for state-space models, shipped and then left alone.
bootStateSpace generates parametric bootstrap samples for state-space models, covering fixed-parameter variants across general state-space, Ornstein-Uhlenbeck, linear stochastic differential equation and vector autoregressive specifications. Its entire public history is three releases: an initial CRAN publication in January 2025, one patch adding a clean argument to the four fitting functions a month later, and a citation update in October. The methodological anchor is continuous-time mediation work published in Psychological Methods.
What is forecasting?
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.
bootStateSpace vs forecasting: editorial side-by-side
bootStateSpace
0.0ANALYTICS
A parametric bootstrap for state-space models, shipped and then left alone.
◆ Current state
bootStateSpace generates parametric bootstrap samples for state-space models, covering fixed-parameter variants across general state-space, Ornstein-Uhlenbeck, linear stochastic differential equation and vector autoregressive specifications. Its entire public history is three releases: an initial CRAN publication in January 2025, one patch adding a clean argument to the four fitting functions a month later, and a citation update in October. The methodological anchor is continuous-time mediation work published in Psychological Methods.
◆ Where it's heading
This is research software following its paper rather than a product on a roadmap — the most recent release adds nothing but a citation to the 2025 Psychological Methods article on effects in continuous-time mediation models. It sits within the same author's cluster of psychometric and continuous-time modelling packages, which is where changes to the underlying methods tend to originate. The package itself has been functionally unchanged since February 2025.
◆ Prediction
The release pattern suggests the package moves when the associated research does, so the next change most likely accompanies a new paper or a fix surfaced by a sibling package rather than arriving on its own schedule.
forecasting
0.0ANALYTICS
HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to bootStateSpace and forecasting
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 bootStateSpace or forecasting.
cfbfastr
College football's open data client hit v2 — and now reports how many API calls you have left.
rnpn
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
GeneNMF
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
rempsyc
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
sdsfun
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all bootStateSpace alternatives → · See all forecasting alternatives →
Recent activity from bootStateSpace and forecasting
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoforecastingVignettes rebuilt under R 4.6.1
- 10mo agobootStateSpaceCitation added for the continuous-time mediation paper
- 1y agobootStateSpaceclean argument added across the four bootstrap functions
- 1y agobootStateSpaceInitial CRAN release of the state-space bootstrap sampler
- 2y agoforecastingVignettes rebuilt under R 4.3.2
- 5y agoforecastingVignettes rebuilt under R 4.0.4
- 7y agoforecastingStandard PIT and discretized log-normal scoring
- 7y agoforecastingThe version used for the book chapter, with pinned dependencies
Frequently asked questions
What is the difference between bootStateSpace and forecasting?
They serve adjacent needs but don't currently overlap on shipped themes. bootStateSpace and forecasting 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.
Is bootStateSpace better than forecasting?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bootStateSpace and forecasting 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.
What are the best alternatives to bootStateSpace?
Top bootStateSpace alternatives in Analytics are ranked by recent ship velocity. Browse the "bootStateSpace alternatives" section above for the current picks, or visit /alternatives/bootstatespace for the full list with editorial commentary on each.
What are the best alternatives to forecasting?
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.