pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
CptNonPar vs states
A side-by-side editorial comparison of CptNonPar and states — release velocity, themes, recent moves, and the top alternatives to consider.
CptNonPar vs states: 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 states?
State-panel tooling holding steady since its 2020 data and ergonomics release.
states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.
CptNonPar vs states: 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.
states
0.0INFRA · APIS
State-panel tooling holding steady since its 2020 data and ergonomics release.
◆ Current state
states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.
◆ Where it's heading
The package has reached the point where its own data and API are settled and the release trigger is upstream churn in the tidyverse. What movement there is goes toward making the two state lists interchangeable, with the microstates coding carried from G&W onto the COW data as the clearest example, rather than toward new datasets.
◆ Prediction
The next release is most likely another compatibility pass; a data refresh would be the signal that the package is active again.
Alternatives to CptNonPar and states
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 states.
ggalign
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
prioritizr
Conservation planning absorbs the literature's target-setting rules as code.
jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
rsofun
An ecosystem model starts tracking carbon isotopes and land-use change.
usmap
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
See all CptNonPar alternatives → · See all states alternatives →
Recent activity from CptNonPar and states
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agoCptNonParData centred and scaled by default before detection
- 0y agostatesplot_missing() test fixed for the next ggplot2
- 1y agoCptNonParImportance scores replace p-values; per-lag manual thresholds
- 2y agoCptNonParPaper link updated for CRAN checks
- 2y agostatesggplot2 and dplyr deprecation cleanup
- 2y agostatesBundled state data stripped to plain data frames
- 3y agoCptNonParDescription field and example cleanups
- 5y agostatesMicrostate coding for COW data and state_panel() shortcuts
- 7y agostatesSimpler defaults for state_panel() and plot_missing()
Frequently asked questions
What is the difference between CptNonPar and states?
They serve adjacent needs but don't currently overlap on shipped themes. CptNonPar and states 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 states?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CptNonPar and states 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 states?
Top states alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "states alternatives" section above for the current picks, or visit /alternatives/states for the full list with editorial commentary on each.