← Back to home
Comparison · Analytics

epiworldR vs SimInf

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

Shared themes:r-packageepidemiology

epiworldR vs SimInf: at a glance

FeatureepiworldRSimInf
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, epidemiology, agent-based-simulation, cranepidemiology, stochastic-simulation, bayesian-inference, r-package
Last editorial update2h ago53m ago
WebsiteVisit →Visit →

What is epiworldR?

epiworldR is a thin R shell whose releases track the C++ simulator underneath it

Almost every release here is a version bump of the underlying epiworld C++ library, wrapped and pushed to CRAN. The substantive R-side work is narrow and consistent: exposing simulation outputs that were already computed but not reachable from R — outbreak size, active cases, hospitalizations and their savers. The newest release addresses an AddressSanitizer finding, which is the kind of thing CRAN checks surface on a compiled package.

Read the full epiworldR trajectory →

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 →

epiworldR vs SimInf: editorial side-by-side

E
epiworldR
ANALYTICS
0.0

epiworldR is a thin R shell whose releases track the C++ simulator underneath it

◆ Current state

Almost every release here is a version bump of the underlying epiworld C++ library, wrapped and pushed to CRAN. The substantive R-side work is narrow and consistent: exposing simulation outputs that were already computed but not reachable from R — outbreak size, active cases, hospitalizations and their savers. The newest release addresses an AddressSanitizer finding, which is the kind of thing CRAN checks surface on a compiled package.

◆ Where it's heading

The R package's job is staying current with the simulator and satisfying CRAN, not evolving its own interface. What direction it has shows in which model outputs get exposed next, and in a steady tidy-up of the build — the custom configure script was dropped in favour of R's built-in C++17 and OpenMP settings, and test coverage has been filled in across several releases with automated assistance.

◆ Prediction

Expect the next release to track another epiworld version bump, with any R-side addition most likely being one more exposed metric or saver, following the pattern of get_hospitalizations and get_outbreak_size.

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.

Alternatives to epiworldR and SimInf

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 epiworldR or SimInf.

See all epiworldR alternatives → · See all SimInf alternatives →

Recent activity from epiworldR and SimInf

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

  1. 4mo agoepiworldR0.14.0 addresses an AddressSanitizer finding
  2. 5mo agoepiworldRWrapper bumped to track a new epiworld version
  3. 5mo agoepiworldRBuild drops the custom configure script for R's C++17 and OpenMP settings
  4. 6mo agoepiworldRepiworld bumped to 0.11.2
  5. 7mo agoepiworldRTests updated at CRAN's request
  6. 7mo agoepiworldRHospitalizations, outbreak size and active cases exposed to R
  7. 9mo agoSimInfAvoid memcpy on zero-length continuous state vector
  8. 9mo agoSimInfPMCMC fitting arrives; particle filter interface redesigned
  9. 2y agoSimInfDocumentation link anchors; parser dependency fix
  10. 2y agoSimInfModel parser gains variables and enumeration constants
  11. 2y agoSimInfindividual_events() added for raw event data cleaning
  12. 3y agoSimInfConfigure script uses R to locate the compiler

Frequently asked questions

What is the difference between epiworldR and SimInf?

Both compete on the same themes — r-package, epidemiology — within Analytics. epiworldR and SimInf 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 epiworldR better than SimInf?

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

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

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.