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mutagen vs SimInf

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

Shared themes:r-package

mutagen vs SimInf: at a glance

FeaturemutagenSimInf
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-manipulation, tidyverse, stata-port, r-packageepidemiology, stochastic-simulation, bayesian-inference, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is mutagen?

A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release

mutagen provides row-wise column-generation helpers for R data frames in the spirit of Stata's egen — gen_rowmean(), gen_rowsum(), gen_rowsd(), gen_rownonmiss() and about a dozen siblings. It reached 0.5.0 within three months of its first release, adding two or three functions each time. The most recent release adds gen_coldiff() and renames two functions to fit the naming scheme.

Read the full mutagen 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 →

mutagen vs SimInf: editorial side-by-side

M
mutagen
ANALYTICS
0.0

A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release

◆ Current state

mutagen provides row-wise column-generation helpers for R data frames in the spirit of Stata's egen — gen_rowmean(), gen_rowsum(), gen_rowsd(), gen_rownonmiss() and about a dozen siblings. It reached 0.5.0 within three months of its first release, adding two or three functions each time. The most recent release adds gen_coldiff() and renames two functions to fit the naming scheme.

◆ Where it's heading

The package is filling out a known surface rather than discovering one: the reference implementation exists in Stata, so development is a matter of working through the list. Alongside that, the naming convention is still settling — gen_rowmatch became gen_rowany, gen_percent became gen_colpercent, gen_na_listcol became gen_listcol_na — which is normal for a pre-1.0 package but means callers should expect further renames. Contributions are arriving from several first-time contributors.

◆ Prediction

The gen_col* prefix has only two members against a dozen gen_row* functions, so column-wise coverage is the obvious gap; expect it to fill before the naming stabilises for a 1.0.

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 mutagen 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 mutagen or SimInf.

See all mutagen alternatives → · See all SimInf alternatives →

Recent activity from mutagen and SimInf

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

  1. 8mo agomutagengen_coldiff() added; two functions renamed for consistency
  2. 9mo agoSimInfAvoid memcpy on zero-length continuous state vector
  3. 9mo agomutagengen_rowsum() and gen_rowsd() added
  4. 9mo agoSimInfPMCMC fitting arrives; particle filter interface redesigned
  5. 9mo agomutagengen_rownonmiss() and gen_rowall() added
  6. 9mo agomutagenRow mean, median and missingness helpers; gen_rowmatch renamed
  7. 11mo agomutagenFirst release with the row-wise gen_* family
  8. 2y agoSimInfDocumentation link anchors; parser dependency fix
  9. 2y agoSimInfModel parser gains variables and enumeration constants
  10. 2y agoSimInfindividual_events() added for raw event data cleaning
  11. 3y agoSimInfConfigure script uses R to locate the compiler

Frequently asked questions

What is the difference between mutagen and SimInf?

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

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

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