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socialmixr vs spatstat.random

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

socialmixr vs spatstat.random: at a glance

Featuresocialmixrspatstat.random
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themescontact matrices, epidemiology, pipeline api, breaking changesspatial-statistics, point-processes, simulation, r-package
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is socialmixr?

socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.

socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.

Read the full socialmixr trajectory →

What is spatstat.random?

spatstat's simulation engine pushes point process generation into three dimensions

spatstat.random generates random point patterns and simulates point process models for the spatstat family. Its recent releases have moved along two lines at once: filling out three-dimensional simulation, and adding conditional simulation to the established cluster process generators. 3.5-1 is a narrow follow-up adding a random Dirichlet-Voronoi tessellation without edge effects.

Read the full spatstat.random trajectory →

socialmixr vs spatstat.random: editorial side-by-side

S
socialmixr
ANALYTICS
0.0

socialmixr breaks its one-shot contact_matrix() call into a composable pipeline.

◆ Current state

socialmixr builds age-structured social contact matrices from survey data for infectious-disease modelling. Version 0.6.0 replaces the monolithic contact_matrix() entry point with a chain of composable steps — filter, assign age groups, weigh, compute, then symmetrise, split or convert per capita — behind a new contact_matrix S3 class. Survey downloading is being handed off to a separate contactsurveys package.

◆ Where it's heading

The arc from 0.4.0 to 0.6.0 is decomposition: first extracting helpers like assign_age_groups(), then moving downloads out of the package, and now exposing every stage of matrix construction as its own verb. Breaking changes are accepted at each step — preserved empty age groups, arrays instead of xtabs, [N,Inf) labels — with the new class inheriting from list so existing $matrix access keeps working. The label change is explicitly aligned with the contactmatrix package.

◆ Prediction

Expect the deprecated dotted argument names and the remaining in-package download paths to be removed once the contactsurveys handoff completes, leaving contact_matrix() as a thin wrapper over the pipeline.

S2.5

spatstat's simulation engine pushes point process generation into three dimensions

◆ Current state

spatstat.random generates random point patterns and simulates point process models for the spatstat family. Its recent releases have moved along two lines at once: filling out three-dimensional simulation, and adding conditional simulation to the established cluster process generators. 3.5-1 is a narrow follow-up adding a random Dirichlet-Voronoi tessellation without edge effects.

◆ Where it's heading

The clearest arc is dimensional. 3.5-0 carried inhomogeneous Poisson processes, non-uniform random points and Simple Sequential Inhibition into 3D in a single release, and the sibling geometry package followed two months later with more capabilities for three-dimensional point patterns. Alongside that, the generators have been gaining theoretical range — Gaussian random fields in 3.4-4, a new class of theoretical cluster process models and random diffusion in 3.5-0 — while earlier releases concentrated on conditional simulation and efficiency in the existing 2D routines.

◆ Prediction

Expect the 3D work to continue propagating into the model-fitting and geometry packages before spatstat.random adds another dimension-independent generator, since the 3D features here have already begun appearing downstream. The entries do not indicate which estimator gets 3D support next.

Alternatives to socialmixr and spatstat.random

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 socialmixr or spatstat.random.

See all socialmixr alternatives → · See all spatstat.random alternatives →

Recent activity from socialmixr and spatstat.random

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

  1. 20d agospatstat.randomEdge-effect-free random Dirichlet-Voronoi tessellation
  2. 2mo agospatstat.randomThree-dimensional point process simulation arrives
  3. 3mo agosocialmixrContact matrices become a composable pipeline
  4. 6mo agosocialmixrPatch: load_survey() handles files without cont_id
  5. 6mo agospatstat.randomGaussian random field generation added
  6. 6mo agosocialmixrAge-group assignment and population lookup split out
  7. 10mo agospatstat.randomrunifdisc efficiency and fixed-count simulation options
  8. 1y agospatstat.randomConditional simulation for the cluster process generators
  9. 1y agospatstat.randomFaster rpoispp for tessellation-defined intensity
  10. 1y agosocialmixrFaster survey loading and cached Zenodo lookups
  11. 2y agosocialmixrcontact_matrix() now takes survey objects only
  12. 2y agosocialmixrTest fixes for machine-precision failures

Frequently asked questions

What is the difference between socialmixr and spatstat.random?

They serve adjacent needs but don't currently overlap on shipped themes. spatstat.random is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is socialmixr better than spatstat.random?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spatstat.random is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to socialmixr?

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

What are the best alternatives to spatstat.random?

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