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censored vs ggpubr

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

censored vs ggpubr: at a glance

Featurecensoredggpubr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, tidymodels, parsnip, enginesvisualization, statistics, publication, ggplot2
Last editorial update1h ago47m ago
WebsiteVisit →Visit →

What is censored?

censored keeps survival models aligned with parsnip's shifting prediction contracts

censored supplies survival-analysis engines to parsnip, and its release history is dominated by staying in step with the rest of tidymodels rather than shipping independent features. The 0.2.0 and 0.3.0 releases added engines and prediction types; everything since has been contract alignment — quantile prediction format, hardhat test adaptation, flexsurv preparation.

Read the full censored trajectory →

What is ggpubr?

ggpubr reached 1.0.0 with p-value formatting presets for specific journals

ggpubr adds publication-ready statistics and annotation to ggplot2. Two releases define its capability: 0.5.0 introduced the stat_*_test family and geom_pwc() for pairwise comparison brackets, and 1.0.0 added p-value formatting presets matching named journal house styles. In between, most releases are ggplot2 and dplyr deprecation chasing.

Read the full ggpubr trajectory →

censored vs ggpubr: editorial side-by-side

C
censored
ANALYTICS
0.0

censored keeps survival models aligned with parsnip's shifting prediction contracts

◆ Current state

censored supplies survival-analysis engines to parsnip, and its release history is dominated by staying in step with the rest of tidymodels rather than shipping independent features. The 0.2.0 and 0.3.0 releases added engines and prediction types; everything since has been contract alignment — quantile prediction format, hardhat test adaptation, flexsurv preparation.

◆ Where it's heading

The package is settling into a downstream role where parsnip and hardhat set the interface and censored implements it for censored regression. Breaking changes arrive from upstream, not from new ideas here. The substantive engine work — aorsf, flexsurvspline, glmnet multi_predict — is behind it, and recent cycles are thin.

◆ Prediction

Expect the next releases to track further parsnip prediction-type changes rather than add engines; the entries do not show new survival methods in progress.

G
ggpubr
ANALYTICS
0.0

ggpubr reached 1.0.0 with p-value formatting presets for specific journals

◆ Current state

ggpubr adds publication-ready statistics and annotation to ggplot2. Two releases define its capability: 0.5.0 introduced the stat_*_test family and geom_pwc() for pairwise comparison brackets, and 1.0.0 added p-value formatting presets matching named journal house styles. In between, most releases are ggplot2 and dplyr deprecation chasing.

◆ Where it's heading

The package is moving from drawing statistics to matching the conventions of where they get published - style presets are a different kind of feature from a new test. That sits on a persistent maintenance load: after_stat migrations, linewidth parameters, R-devel changing how the Wilcoxon test handles ties. ggpubr absorbs upstream deprecations so that figure code written years ago keeps rendering.

◆ Prediction

Expect the preset list to grow as users request their own journals' conventions, and the deprecation-chasing to continue with each ggplot2 release; the statistical test coverage looks complete enough that additions there would be surprising.

Alternatives to censored and ggpubr

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 censored or ggpubr.

See all censored alternatives → · See all ggpubr alternatives →

Recent activity from censored and ggpubr

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

  1. 1mo agoggpubrJournal-specific p-value formatting presets in 1.0.0
  2. 4mo agocensoredcensored 0.3.4
  3. 5mo agoggpubrRaises R and dplyr minimums, migrates off deprecated syntax
  4. 9mo agoggpubrPins Wilcoxon p-values against an R-devel change
  5. 1y agoggpubrFixes after_stat() namespace failures in reverse dependencies
  6. 1y agocensoredQuantile prediction format follows new parsnip requirements
  7. 2y agocensoredSurvival probabilities at infinite evaluation times now computed
  8. 2y agocensoredcensored 0.3.1
  9. 2y agocensoredmulti_predict() for all glmnet prediction types; aorsf predicts time
  10. 3y agocensoredeval_time replaces time; matrix fitting for censored regression
  11. 3y agoggpubrggadjust_pvalue() and reproducible jitter seeds
  12. 3y agoggpubrgeom_pwc() and the stat_*_test family arrive

Frequently asked questions

What is the difference between censored and ggpubr?

They serve adjacent needs but don't currently overlap on shipped themes. censored and ggpubr 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 censored better than ggpubr?

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

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

What are the best alternatives to ggpubr?

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