← Back to home
Comparison · Infra & APIs

CptNonPar vs rstudio.prefs

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

CptNonPar vs rstudio.prefs: at a glance

FeatureCptNonParrstudio.prefs
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themeschange-point-detection, nonparametric, defaults, preprocessingr-packages, rstudio, developer-tools, configuration-as-code
Last editorial update49m ago4h ago
WebsiteVisit →Visit →

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.

Read the full CptNonPar trajectory →

What is rstudio.prefs?

Four years dormant, rstudio.prefs returns under a new maintainer.

The package scripts RStudio's own settings — preferences, secondary repositories, keyboard shortcuts — as code you can drop into a project or an onboarding doc. After 0.1.9 in July 2022 it went quiet for four years. 0.2.0 ends that with a maintainer handoff from Daniel D. Sjoberg to S.A. van der Wulp, a shortcut-removal path, and a fix for a corrupted addins.json entry that made reassigned shortcuts fail silently.

Read the full rstudio.prefs trajectory →

CptNonPar vs rstudio.prefs: editorial side-by-side

C
CptNonPar
INFRA · APIS
0.0

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.

R
rstudio.prefs
INFRA · APIS
2.5

Four years dormant, rstudio.prefs returns under a new maintainer.

◆ Current state

The package scripts RStudio's own settings — preferences, secondary repositories, keyboard shortcuts — as code you can drop into a project or an onboarding doc. After 0.1.9 in July 2022 it went quiet for four years. 0.2.0 ends that with a maintainer handoff from Daniel D. Sjoberg to S.A. van der Wulp, a shortcut-removal path, and a fix for a corrupted addins.json entry that made reassigned shortcuts fail silently.

◆ Where it's heading

The through-line is teaching every setter how to unset. Secondary repositories got NULL removal back in 0.1.6; 0.2.0 extends the same convention to keyboard shortcuts. Most of the rest of 0.2.0 is arrears — a stale documentation URL that hid preferences such as enable_splash_screen, a deprecated purrr::update_list() call, and check_shortcut_consistency() erroring early on an unknown name.

◆ Prediction

With a new maintainer and refreshed GitHub Actions, the near-term work is likely more catch-up of the same kind: remaining deprecated dependencies and the preference list that fetch_rstudio_prefs() reads from RStudio's docs. Nothing in these notes points past RStudio settings as the scope.

Alternatives to CptNonPar and rstudio.prefs

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 rstudio.prefs.

See all CptNonPar alternatives → · See all rstudio.prefs alternatives →

Recent activity from CptNonPar and rstudio.prefs

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

  1. 10h agorstudio.prefsShortcut removal, an addins.json fix, and a new maintainer
  2. 8mo agoCptNonParData centred and scaled by default before detection
  3. 1y agoCptNonParImportance scores replace p-values; per-lag manual thresholds
  4. 2y agoCptNonParPaper link updated for CRAN checks
  5. 3y agoCptNonParDescription field and example cleanups
  6. 4y agorstudio.prefsPreferences now read and written through rstudioapi
  7. 4y agorstudio.prefsConfig files left alone when nothing would change
  8. 4y agorstudio.prefsSecondary repositories can be deleted again
  9. 4y agorstudio.prefsRepository removal via NULL; config path helpers exported
  10. 5y agorstudio.prefsDocumentation, error messages, and array-type caution

Frequently asked questions

What is the difference between CptNonPar and rstudio.prefs?

They serve adjacent needs but don't currently overlap on shipped themes. rstudio.prefs is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is CptNonPar better than rstudio.prefs?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rstudio.prefs is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 rstudio.prefs?

Top rstudio.prefs alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "rstudio.prefs alternatives" section above for the current picks, or visit /alternatives/rstudio-prefs for the full list with editorial commentary on each.