TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of bootStateSpace and reliaplotr — release velocity, themes, recent moves, and the top alternatives to consider.
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.
The Weibull plotting package renamed itself, then handed its charts to AI assistants.
ReliaPlotR draws interactive reliability plots with plotly — probability plots, contour plots, Duane and reliability growth charts, accelerated life testing plots by stress level, mean cumulative function curves for repairable systems, and exposure plots. It was WeibullR.plotly until late 2025, and the rename tracked a real widening of scope rather than just a label change. The current release adds tidy extractors that turn fitted model objects into data frames, and an MCP server exposing five of its fit and plot functions as tools.
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.
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.
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.
ReliaPlotR draws interactive reliability plots with plotly — probability plots, contour plots, Duane and reliability growth charts, accelerated life testing plots by stress level, mean cumulative function curves for repairable systems, and exposure plots. It was WeibullR.plotly until late 2025, and the rename tracked a real widening of scope rather than just a label change. The current release adds tidy extractors that turn fitted model objects into data frames, and an MCP server exposing five of its fit and plot functions as tools.
The package has been following its analysis siblings function for function: as accelerated life testing and repairable systems modelling landed in the wider suite, the matching plot types appeared here, and when the growth-analysis package shipped an MCP server, this one followed two weeks later. The tidy extractors point the same way — a plotting package that can also return parameter estimates, goodness-of-fit metrics, and confidence bounds as tidy frames is one designed to be consumed programmatically, by a pipeline or an assistant, not only read on screen. Overlaying multiple model fits on a single plot has been a recurring request answered across several releases.
Expect the tidy extractor and MCP tool surfaces to keep expanding together, since each new plot type in the suite now implies both a chart and a machine-readable version of what it shows.
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 reliaplotr.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
College football's open data client hit v2 — and now reports how many API calls you have left.
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all bootStateSpace alternatives → · See all reliaplotr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. bootStateSpace and reliaplotr 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. bootStateSpace and reliaplotr 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 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.
Top reliaplotr alternatives in Analytics are ranked by recent ship velocity. Browse the "reliaplotr alternatives" section above for the current picks, or visit /alternatives/reliaplotr for the full list with editorial commentary on each.