metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
A side-by-side editorial comparison of ggsurvfit and random.cdisc.data — release velocity, themes, recent moves, and the top alternatives to consider.
ggsurvfit is in correctness-and-compatibility mode, not feature mode.
The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.
Synthetic CDISC data generation that has been quiet since early 2024.
random.cdisc.data generates synthetic CDISC-format clinical trial datasets, used across the insightsengineering and teal packages as test and demo data. The last substantive release, 0.3.15 in March 2024, made cached-data rebuilds incremental and corrected an ETHNIC factor level. Everything older in this feed is release automation.
The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.
The feature surface settled around 1.0.0, when risk-table alignment was exported and colour and linetype defaults became configurable. Since then the work is keeping pace with survival, ggplot2 and tidycmprsk changes, and closing cases where the plotted curve and the annotation disagreed — the p-value matched by position rather than name, confidence limits swapped for multi-state models, quantiles read off a plateau.
Expect the next release to track upstream survival or ggplot2 changes rather than add plotting features; the CDISC censoring convention adopted in Surv_CNSR() suggests further alignment with clinical data standards is the likelier direction.
random.cdisc.data generates synthetic CDISC-format clinical trial datasets, used across the insightsengineering and teal packages as test and demo data. The last substantive release, 0.3.15 in March 2024, made cached-data rebuilds incremental and corrected an ETHNIC factor level. Everything older in this feed is release automation.
Activity has thinned to one real release in the visible window, surrounded by version bumps and workflow propagation. The 0.3.15 work is maintenance-shaped — dependency floors, a data typo, faster vignette rebuilds — which is what a fixture package looks like once downstream packages depend on its output staying unchanged.
Further releases are likely to stay corrective, since the package's value to teal and tern depends on its generated datasets remaining stable rather than growing.
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 ggsurvfit or random.cdisc.data.
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
See all ggsurvfit alternatives → · See all random.cdisc.data alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — cdisc — within Analytics. ggsurvfit 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggsurvfit 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 Analytics products to evaluate alongside.
Top ggsurvfit alternatives in Analytics are ranked by recent ship velocity. Browse the "ggsurvfit alternatives" section above for the current picks, or visit /alternatives/ggsurvfit for the full list with editorial commentary on each.
Top random.cdisc.data alternatives in Analytics are ranked by recent ship velocity. Browse the "random.cdisc.data alternatives" section above for the current picks, or visit /alternatives/random-cdisc-data for the full list with editorial commentary on each.