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hstats vs SimInf

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

hstats vs SimInf: at a glance

FeaturehstatsSimInf
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesinteraction statistics, partial dependence, model explainability, r packageepidemiology, stochastic-simulation, bayesian-inference, r-package
Last editorial update8h ago1h ago
WebsiteVisit →Visit →

What is hstats?

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

Read the full hstats 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 →

hstats vs SimInf: editorial side-by-side

H
hstats
ANALYTICS
0.0

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

◆ Current state

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

◆ Where it's heading

The structural work — the hstats_matrix object, quantile approximation, revised plotting — landed in 1.0.0 just outside this window, and nothing since has changed the package's shape. What continues is model-coverage plumbing: mlr3 classification modes, ranger survival behind a survival argument, and factor predictions added in 1.1.0 then removed again in 1.2.0. The most recent releases are compatibility-driven, tracking ggplot2 rather than the interaction statistics.

◆ Prediction

Expect the next release to be another dependency-compatibility pass or a new model backend working out of the box, rather than new interaction statistics.

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 hstats 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 hstats or SimInf.

See all hstats alternatives → · See all SimInf alternatives →

Recent activity from hstats and SimInf

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

  1. 9mo agoSimInfAvoid memcpy on zero-length continuous state vector
  2. 9mo agoSimInfPMCMC fitting arrives; particle filter interface redesigned
  3. 10mo agohstatsggplot 4.0 compatibility and test coverage
  4. 1y agohstatsranger survival models supported out of the box
  5. 2y agohstatsMoves to ModelOriented; factor predictions removed
  6. 2y agoSimInfDocumentation link anchors; parser dependency fix
  7. 2y agoSimInfModel parser gains variables and enumeration constants
  8. 2y agohstatsICE facets for multioutput models; mlr3 fixes
  9. 2y agoSimInfindividual_events() added for raw event data cleaning
  10. 2y agohstatsFaster data.frame paths; NaN H-statistics fixed
  11. 2y agohstatsFactor predictions and line-style 2D partial dependence
  12. 3y agoSimInfConfigure script uses R to locate the compiler

Frequently asked questions

What is the difference between hstats and SimInf?

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

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

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