pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
CptNonPar vs statsExpressions
A side-by-side editorial comparison of CptNonPar and statsExpressions — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:statistics
CptNonPar vs statsExpressions: at a glance
What is CptNonPar?
Nonparametric change point detection swaps p-values for importance scores.
CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.
What is statsExpressions?
A statistics backend whose release history is mostly other people's weather
statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.
CptNonPar vs statsExpressions: editorial side-by-side
CptNonPar
0.0INFRA · APIS
Nonparametric change point detection swaps p-values for importance scores.
◆ Current state
CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.
◆ Where it's heading
The package is tightening the statistical interface it exposes: p-values gave way to importance scores across all three detection functions, manual thresholds became specifiable per lag, and the latest release makes centring and scaling the default preprocessing step. Each change folds a decision the user previously had to make into the package itself.
◆ Prediction
Expect further work on defaults and reporting around the existing MOJO estimators rather than a new detection method.
statsExpressions
0.0INFRA · APIS
A statistics backend whose release history is mostly other people's weather
◆ Current state
statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.
◆ Where it's heading
This is a component settling into place beneath a larger package rather than a product with its own roadmap. New statistical content arrives rarely and narrowly — an exact-p toggle, one post-hoc function — while the recurring work is keeping expressions correct as the easystats stack shifts underneath. The one bug class it keeps returning to is rendering: p-values of exactly zero, decimal commas that plotmath parses as list separators.
◆ Prediction
Coupled this tightly, the next release is most likely another compatibility pass timed to an easystats or ggstatsplot version rather than new tests. Nothing in these entries signals an independent feature direction.
Alternatives to CptNonPar and statsExpressions
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 CptNonPar or statsExpressions.
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Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
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usmap
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See all CptNonPar alternatives → · See all statsExpressions alternatives →
Recent activity from CptNonPar and statsExpressions
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agostatsExpressionsPairwise Fisher's post hocs for contingency tables
- 4mo agostatsExpressionsInternal maintenance only, no user-facing changes
- 6mo agostatsExpressionsAdapts to dplyr 1.2.0 and purrr 1.2.1
- 6mo agostatsExpressionsAdapts to changes in the easystats packages
- 8mo agoCptNonParData centred and scaled by default before detection
- 1y agostatsExpressionsFixes p-value rendering when p is exactly zero
- 1y agostatsExpressionscentrality_description() follows the new easystats API
- 1y agoCptNonParImportance scores replace p-values; per-lag manual thresholds
- 2y agoCptNonParPaper link updated for CRAN checks
- 3y agoCptNonParDescription field and example cleanups
Frequently asked questions
What is the difference between CptNonPar and statsExpressions?
Both compete on the same themes — statistics — within Infra & APIs. CptNonPar and statsExpressions 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 CptNonPar better than statsExpressions?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CptNonPar and statsExpressions 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.
What are the best alternatives to CptNonPar?
Top CptNonPar alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "CptNonPar alternatives" section above for the current picks, or visit /alternatives/cptnonpar for the full list with editorial commentary on each.
What are the best alternatives to statsExpressions?
Top statsExpressions alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "statsExpressions alternatives" section above for the current picks, or visit /alternatives/statsexpressions for the full list with editorial commentary on each.