metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
admiralneuro vs ggsurvfit
A side-by-side editorial comparison of admiralneuro and ggsurvfit — release velocity, themes, recent moves, and the top alternatives to consider.
admiralneuro vs ggsurvfit: at a glance
What is admiralneuro?
admiralneuro is widening from Alzheimer's PET into general nervous-system findings.
The package launched in September 2025 with amyloid and tau PET analysis for Alzheimer's studies — centiloid computation, five neuro datasets, and ADAPET/ADTPET template programs. The February 2026 update is tagged twice on the same day, 0.2.0 and 0.2.1 carrying the same notes, and adds olfactory testing plus a nervous-system findings template.
What is ggsurvfit?
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.
admiralneuro vs ggsurvfit: editorial side-by-side
admiralneuro
0.0ANALYTICS
admiralneuro is widening from Alzheimer's PET into general nervous-system findings.
◆ Current state
The package launched in September 2025 with amyloid and tau PET analysis for Alzheimer's studies — centiloid computation, five neuro datasets, and ADAPET/ADTPET template programs. The February 2026 update is tagged twice on the same day, 0.2.0 and 0.2.1 carrying the same notes, and adds olfactory testing plus a nervous-system findings template.
◆ Where it's heading
Development is moving from one disease area toward a general neuro toolkit: UPSIT smell-identification percentiles now sit alongside PET quantitation, and the ADNV template covers nervous-system findings broadly rather than PET specifically. Internal SDTM test data was retired in favour of pharmaversesdtm, tying the package more tightly to the shared pharmaverse data layer.
◆ Prediction
More assessment-specific compute functions on the UPSIT pattern are the obvious next step, each arriving with a vignette and a template program alongside it.
ggsurvfit
2.5ANALYTICS
ggsurvfit is in correctness-and-compatibility mode, not feature mode.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to admiralneuro and ggsurvfit
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 admiralneuro or ggsurvfit.
marquee
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logrx
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
lobstr
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GSODR
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giscoR
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
See all admiralneuro alternatives → · See all ggsurvfit alternatives →
Recent activity from admiralneuro and ggsurvfit
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
- 5mo agoadmiralneuroPre-release tag superseded the same day by 0.2.1
- 5mo agoadmiralneuroUPSIT olfactory scoring and an ADNV template
- 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
- 11mo agoadmiralneuroInitial release with amyloid and tau PET workflows
- 2y agoggsurvfitNegative follow-up times and a cloglog transformation
- 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
- 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
- 3y agoggsurvfitGlue syntax in risk tables and coxph model support
Frequently asked questions
What is the difference between admiralneuro and ggsurvfit?
They serve adjacent needs but don't currently overlap on shipped themes. 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.
Is admiralneuro better than ggsurvfit?
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.
What are the best alternatives to admiralneuro?
Top admiralneuro alternatives in Analytics are ranked by recent ship velocity. Browse the "admiralneuro alternatives" section above for the current picks, or visit /alternatives/admiralneuro for the full list with editorial commentary on each.
What are the best alternatives to ggsurvfit?
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.