pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
CptNonPar vs ipeaplot
A side-by-side editorial comparison of CptNonPar and ipeaplot — release velocity, themes, recent moves, and the top alternatives to consider.
CptNonPar vs ipeaplot: 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 ipeaplot?
An institutional chart theme whose recent releases are all vignette repair.
ipeaplot supplies Ipea's house style to ggplot2 — theme_ipea(), matching colour and fill scales, and export helpers that write the formats the institute's publications need. The feature line has been quiet since October, when save_ipeaplot() consolidated the format-specific savers. Both July releases exist to get the package building again, not to change it.
CptNonPar vs ipeaplot: 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.
ipeaplot
0.0INFRA · APIS
An institutional chart theme whose recent releases are all vignette repair.
◆ Current state
ipeaplot supplies Ipea's house style to ggplot2 — theme_ipea(), matching colour and fill scales, and export helpers that write the formats the institute's publications need. The feature line has been quiet since October, when save_ipeaplot() consolidated the format-specific savers. Both July releases exist to get the package building again, not to change it.
◆ Where it's heading
The package has been converging on a smaller, more uniform surface: separate save_eps() and save_pdf() helpers gave way to one save_ipeaplot() covering vector and raster formats with sensible defaults, and the Frutiger font dependency was dropped for a default sans-serif. What consumes releases now is downstream breakage — two consecutive patches in ten days, the second traced to geobr, both in vignettes rather than package code.
◆ Prediction
The palette line has grown one colour set at a time and is the most likely place for the next addition, but nothing in these entries commits to it. On current evidence the near term is more compatibility patching against the geobr and ggplot2 packages the vignettes depend on.
Alternatives to CptNonPar and ipeaplot
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 ipeaplot.
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 ipeaplot alternatives →
Recent activity from CptNonPar and ipeaplot
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoipeaplotVignette fix for geobr breakage
- 1mo agoipeaplotPatch for a vignette build error
- 8mo agoCptNonParData centred and scaled by default before detection
- 10mo agoipeaplotsave_ipeaplot() unifies vector and raster export
- 1y agoCptNonParImportance scores replace p-values; per-lag manual thresholds
- 1y agoipeaplotPink palette added; axis break and categorical Y-axis fixes
- 1y agoipeaplotFrutiger dropped for a default sans-serif; save_pdf() added
- 2y agoCptNonParPaper link updated for CRAN checks
- 2y agoipeaplottheme_ipea, colour and fill scales, save_eps on CRAN
- 3y agoCptNonParDescription field and example cleanups
Frequently asked questions
What is the difference between CptNonPar and ipeaplot?
They serve adjacent needs but don't currently overlap on shipped themes. CptNonPar and ipeaplot 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 ipeaplot?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CptNonPar and ipeaplot 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 ipeaplot?
Top ipeaplot alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ipeaplot alternatives" section above for the current picks, or visit /alternatives/ipeaplot for the full list with editorial commentary on each.