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Comparison · Analytics
spatstat.random vs survminer
A side-by-side editorial comparison of spatstat.random and survminer — release velocity, themes, recent moves, and the top alternatives to consider.
spatstat.random vs survminer: at a glance
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.
What is survminer?
survminer is back after a five-year gap, and spending it cutting dependencies loose.
survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.
spatstat.random vs survminer: editorial side-by-side
spatstat.random
2.5ANALYTICS
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.
survminer
0.0ANALYTICS
survminer is back after a five-year gap, and spending it cutting dependencies loose.
◆ Current state
survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.
◆ Where it's heading
This is a revival by maintenance, not by feature work — the same pattern as its sibling packages from the same author. The dependency surface is being reduced rather than extended, and each release absorbs a breaking change from ggplot2 that would otherwise leave existing scripts producing errors or misaligned risk tables. Compatibility fixes now arrive within months of the upstream change rather than years.
◆ Prediction
Continued ggplot2 4.x tracking is the most likely next release content, since 0.5.2 already carries fixes for 4.0.x aesthetics and the GeomConfint stairstep problem.
Alternatives to spatstat.random and survminer
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 spatstat.random or survminer.
tidytransit
tidytransit tracks the GTFS spec as it grows, one reader and one router feature at a time.
oblicubes
A tiny grid renderer for oblique-projection cubes, complete since its first release.
biocro
BioCro swapped an unstable iteration for real root finders, changing what its crop models compute.
redist
redist keeps rewriting the sampler underneath a district-drawing API it has held stable since 4.0.
epiflows
epiflows has shipped four releases in eight years, none of which changed the code.
See all spatstat.random alternatives → · See all survminer alternatives →
Recent activity from spatstat.random and survminer
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20d agospatstat.randomEdge-effect-free random Dirichlet-Voronoi tessellation
- 2mo agospatstat.randomThree-dimensional point process simulation arrives ⚡
- 5mo agosurvminersurvMisc dependency removed; weighted log-rank tests moved in-house
- 6mo agospatstat.randomGaussian random field generation added
- 10mo agospatstat.randomrunifdisc efficiency and fixed-count simulation options
- 11mo agosurvminerRisk-table misalignment fixed via dynamic panel detection
- 1y agospatstat.randomConditional simulation for the cluster process generators
- 1y agospatstat.randomFaster rpoispp for tessellation-defined intensity
- 1y agosurvminerggcoxzph() sd scaling corrected; tidyverse deprecations cleared
- 5y agosurvminerGehan-Breslow p-value corrected for log.rank.weights = n
- 6y agosurvminerbroom 0.7.0 compatibility fix in ggforest()
- 6y agosurvminersurv_adjustedcurves() separates computation from plotting
Frequently asked questions
What is the difference between spatstat.random and survminer?
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 spatstat.random better than survminer?
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 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.
What are the best alternatives to survminer?
Top survminer alternatives in Analytics are ranked by recent ship velocity. Browse the "survminer alternatives" section above for the current picks, or visit /alternatives/survminer for the full list with editorial commentary on each.