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bootStateSpace vs labelled

A side-by-side editorial comparison of bootStateSpace and labelled — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

bootStateSpace vs labelled: at a glance

FeaturebootStateSpacelabelled
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstate-space-models, parametric-bootstrap, psychometrics, continuous-time-modelssurvey-data, data-labels, stata-spss, metadata
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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.

Read the full bootStateSpace trajectory →

What is labelled?

The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.

labelled manages variable labels, value labels and user-defined missing values on data imported from Stata, SPSS and SAS, filling the gap between those formats' metadata and R's native types. Recent releases have pushed outward from the core label accessors: survey design objects from the survey package are now supported throughout, look_for() results can be rendered as formatted gt tables, and dictionary data frames convert in both directions. Error messaging moved wholesale to cli in 2.14.0.

Read the full labelled trajectory →

bootStateSpace vs labelled: editorial side-by-side

B0.0

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.

L
labelled
ANALYTICS
0.0

The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.

◆ Current state

labelled manages variable labels, value labels and user-defined missing values on data imported from Stata, SPSS and SAS, filling the gap between those formats' metadata and R's native types. Recent releases have pushed outward from the core label accessors: survey design objects from the survey package are now supported throughout, look_for() results can be rendered as formatted gt tables, and dictionary data frames convert in both directions. Error messaging moved wholesale to cli in 2.14.0.

◆ Where it's heading

The arc is toward being usable wherever labelled data ends up, not just where it is loaded. Each recent release either extends support to another object type — survey designs, packed columns, plain vectors, tibbles with list columns — or adds a conversion path between labels and some other representation. The look_for() search function has become a second centre of gravity alongside the label accessors, accumulating its own output formats and long-format conversions.

◆ Prediction

The pattern of adding compatibility with one more object type or output format per release is stable and likely continues. Nothing in these entries indicates a change to the underlying haven_labelled representation the package is built on.

Alternatives to bootStateSpace and labelled

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 labelled.

See all bootStateSpace alternatives → · See all labelled alternatives →

Recent activity from bootStateSpace and labelled

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 9mo agolabelledFormatted look_for() tables and two-way dictionary conversion
  2. 10mo agobootStateSpaceCitation added for the continuous-time mediation paper
  3. 11mo agolabelledSurvey design objects supported across the package
  4. 1y agolabelledRegression in set_variable_labels() corrected
  5. 1y agobootStateSpaceclean argument added across the four bootstrap functions
  6. 1y agobootStateSpaceInitial CRAN release of the state-space bootstrap sampler
  7. 1y agolabelledcli adopted for all messaging; null_action gains options
  8. 2y agolabelledCustom functions can rewrite variable and value labels in bulk
  9. 3y agolabelledPacked columns supported and label attributes exposed directly

Frequently asked questions

What is the difference between bootStateSpace and labelled?

Both compete on the same themes — r-package — within Analytics. bootStateSpace and labelled 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 labelled?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bootStateSpace and labelled 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 labelled?

Top labelled alternatives in Analytics are ranked by recent ship velocity. Browse the "labelled alternatives" section above for the current picks, or visit /alternatives/labelled for the full list with editorial commentary on each.