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EpiNow2 vs survminer

A side-by-side editorial comparison of EpiNow2 and survminer — release velocity, themes, recent moves, and the top alternatives to consider.

EpiNow2 vs survminer: at a glance

FeatureEpiNow2survminer
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, bayesian-modelling, reproduction-number, r-packager, survival-analysis, ggplot2, dependency-reduction
Last editorial update7h ago53m ago
WebsiteVisit →Visit →

What is EpiNow2?

EpiNow2 unified its model interface, then went back to deepen the estimators behind it

EpiNow2 estimates reproduction numbers, infections and delay distributions from incomplete epidemiological reporting data. 1.8.0 was the structural turning point: every main modelling function now returns a consistent S3 object with `fit`, `args` and `observations`, reachable through shared accessors. The releases either side of it work on estimator quality — accumulation of irregularly reported data in 1.7.0, and a substantial expansion of `estimate_truncation()` in 1.9.0.

Read the full EpiNow2 trajectory →

What is survminer?

survminer is back after a five-year gap, and spending it cutting dependencies loose.

survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.

Read the full survminer trajectory →

EpiNow2 vs survminer: editorial side-by-side

E
EpiNow2
ANALYTICS
0.0

EpiNow2 unified its model interface, then went back to deepen the estimators behind it

◆ Current state

EpiNow2 estimates reproduction numbers, infections and delay distributions from incomplete epidemiological reporting data. 1.8.0 was the structural turning point: every main modelling function now returns a consistent S3 object with `fit`, `args` and `observations`, reachable through shared accessors. The releases either side of it work on estimator quality — accumulation of irregularly reported data in 1.7.0, and a substantial expansion of `estimate_truncation()` in 1.9.0.

◆ Where it's heading

The package spent this window paying down interface debt and is now extending from the tidier base. Options that existed only for `estimate_infections()` have been propagated outward: `estimate_truncation()` gained the full `dist_spec` delay families, `obs_opts()` observation model selection between Poisson and negative binomial, and the `likelihood` and `return_likelihood` settings that make prior-only fits and loo-compatible output possible. Hardcoded assumptions are being replaced by specifiable ones in the same motion — the truncation model's additive noise term was a fixed `sigma ~ normal(0, 1)` prior and is now a `dist_spec` argument.

◆ Prediction

Expect the remaining modelling functions to keep converging on the shared options interface, since the last two releases have each moved another function onto it. A new `estimate_dist()` for interval-censored linelist data suggests delay estimation is the area still gaining surface.

S
survminer
ANALYTICS
0.0

survminer is back after a five-year gap, and spending it cutting dependencies loose.

◆ Current state

survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.

◆ Where it's heading

This is a revival by maintenance, not by feature work — the same pattern as its sibling packages from the same author. The dependency surface is being reduced rather than extended, and each release absorbs a breaking change from ggplot2 that would otherwise leave existing scripts producing errors or misaligned risk tables. Compatibility fixes now arrive within months of the upstream change rather than years.

◆ Prediction

Continued ggplot2 4.x tracking is the most likely next release content, since 0.5.2 already carries fixes for 4.0.x aesthetics and the GeomConfint stairstep problem.

Alternatives to EpiNow2 and survminer

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 EpiNow2 or survminer.

See all EpiNow2 alternatives → · See all survminer alternatives →

Recent activity from EpiNow2 and survminer

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

  1. 1mo agoEpiNow2estimate_truncation gains full delay and observation options
  2. 5mo agosurvminersurvMisc dependency removed; weighted log-rank tests moved in-house
  3. 6mo agoEpiNow2Unified return objects and shared accessors across all models
  4. 11mo agosurvminerRisk-table misalignment fixed via dynamic panel detection
  5. 1y agoEpiNow2Patch for an upstream rstan issue
  6. 1y agoEpiNow2Accumulation for irregularly reported data; unified priors
  7. 1y agoEpiNow2Matern kernel spectral density fix and GP prior revert
  8. 1y agosurvminerggcoxzph() sd scaling corrected; tidyverse deprecations cleared
  9. 1y agoEpiNow2Gaussian Process model improvements and explicit defaults
  10. 5y agosurvminerGehan-Breslow p-value corrected for log.rank.weights = n
  11. 6y agosurvminerbroom 0.7.0 compatibility fix in ggforest()
  12. 6y agosurvminersurv_adjustedcurves() separates computation from plotting

Frequently asked questions

What is the difference between EpiNow2 and survminer?

They serve adjacent needs but don't currently overlap on shipped themes. EpiNow2 and survminer 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 EpiNow2 better than survminer?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. EpiNow2 and survminer 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 EpiNow2?

Top EpiNow2 alternatives in Analytics are ranked by recent ship velocity. Browse the "EpiNow2 alternatives" section above for the current picks, or visit /alternatives/epinow2 for the full list with editorial commentary on each.

What are the best alternatives to survminer?

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