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enpls vs SimInf

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

Shared themes:r-package

enpls vs SimInf: at a glance

FeatureenplsSimInf
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespartial-least-squares, ensemble-learning, chemometrics, maintenance-modeepidemiology, stochastic-simulation, bayesian-inference, r-package
Last editorial update41m ago1h ago
WebsiteVisit →Visit →

What is enpls?

enpls has not changed its statistics since 2016 — only its website, twice.

enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.

Read the full enpls 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 →

enpls vs SimInf: editorial side-by-side

E
enpls
ANALYTICS
0.0

enpls has not changed its statistics since 2016 — only its website, twice.

◆ Current state

enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.

◆ Where it's heading

The statistical work finished around version 5.6, which added cross-validation fold control and fixed component selection when the maximum was left unspecified. Everything since has kept the package installable and its docs online. The 2025 release arriving the same day as sibling package grex, with the same two fixes, confirms the pattern: these are maintainer sweeps across a portfolio, not attention to enpls specifically.

◆ Prediction

The next release will almost certainly be another CRAN or tooling fix. Six consecutive infrastructure-only releases across nine years give no basis for expecting new methods.

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 enpls 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 enpls or SimInf.

See all enpls alternatives → · See all SimInf alternatives →

Recent activity from enpls 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. 1y agoenplsenpls 6.1.1 moves pkgdown to GitHub Actions
  4. 2y agoSimInfDocumentation link anchors; parser dependency fix
  5. 2y agoSimInfModel parser gains variables and enumeration constants
  6. 2y agoSimInfindividual_events() added for raw event data cleaning
  7. 3y agoSimInfConfigure script uses R to locate the compiler
  8. 7y agoenplsenpls 6.1 adopts tidyverse code style
  9. 8y agoenplsenpls 6.0 changes the documentation URL
  10. 8y agoenplsenpls 5.9 drops Google Fonts from vignettes
  11. 9y agoenplsenpls 5.8 updates gallery images, enables HTTPS
  12. 9y agoenplsenpls 5.7 adds a pkgdown site and Windows CI

Frequently asked questions

What is the difference between enpls and SimInf?

Both compete on the same themes — r-package — within Analytics. enpls 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 enpls better than SimInf?

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

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