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SimInf vs survminer

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

SimInf vs survminer: at a glance

FeatureSimInfsurvminer
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, stochastic-simulation, bayesian-inference, r-packager, survival-analysis, ggplot2, dependency-reduction
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is SimInf?

SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series

SimInf simulates stochastic disease spread over networks of nodes, with a model parser that compiles user-specified transitions to C. Version 10.0.0 was a deliberate major break: the SimInf_pfilter S4 class and the bootstrap filtering interface were redesigned, a replicates slot was added to SimInf_model, a multi-particle variant of the split-step solver arrived, and the package gained Particle Markov Chain Monte Carlo fitting against observed time series. The follow-up 10.1.0 is a single zero-length memcpy fix found by CRAN's M1 checks.

Read the full SimInf 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 →

SimInf vs survminer: editorial side-by-side

S
SimInf
ANALYTICS
0.0

SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series

◆ Current state

SimInf simulates stochastic disease spread over networks of nodes, with a model parser that compiles user-specified transitions to C. Version 10.0.0 was a deliberate major break: the SimInf_pfilter S4 class and the bootstrap filtering interface were redesigned, a replicates slot was added to SimInf_model, a multi-particle variant of the split-step solver arrived, and the package gained Particle Markov Chain Monte Carlo fitting against observed time series. The follow-up 10.1.0 is a single zero-length memcpy fix found by CRAN's M1 checks.

◆ Where it's heading

The package has been moving from simulation toward inference for several releases. The 9.x line built the input side — utilities for cleaning raw individual event data, variables and enumeration constants in the model parser — and 10.0.0 closed the loop by making the simulator fittable to data through PMCMC. The version number was incremented precisely because that required breaking the particle filter interface.

◆ Prediction

Fitting machinery this new usually needs a second pass on usability, so the next releases most likely focus on diagnostics and documentation around PMCMC rather than on the simulation core, which has been stable across the whole 9.x and 10.x history.

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 SimInf 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 SimInf or survminer.

See all SimInf alternatives → · See all survminer alternatives →

Recent activity from SimInf and survminer

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

  1. 5mo agosurvminersurvMisc dependency removed; weighted log-rank tests moved in-house
  2. 9mo agoSimInfAvoid memcpy on zero-length continuous state vector
  3. 9mo agoSimInfPMCMC fitting arrives; particle filter interface redesigned
  4. 11mo agosurvminerRisk-table misalignment fixed via dynamic panel detection
  5. 1y agosurvminerggcoxzph() sd scaling corrected; tidyverse deprecations cleared
  6. 2y agoSimInfDocumentation link anchors; parser dependency fix
  7. 2y agoSimInfModel parser gains variables and enumeration constants
  8. 2y agoSimInfindividual_events() added for raw event data cleaning
  9. 3y agoSimInfConfigure script uses R to locate the compiler
  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 SimInf and survminer?

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

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

Top SimInf alternatives in Analytics are ranked by recent ship velocity. Browse the "SimInf alternatives" section above for the current picks, or visit /alternatives/siminf-r 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.