tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
Comparison · Analytics
spatstat.random vs tern.mmrm
A side-by-side editorial comparison of spatstat.random and tern.mmrm — release velocity, themes, recent moves, and the top alternatives to consider.
spatstat.random vs tern.mmrm: 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 tern.mmrm?
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022, three of which have just been backfilled into the record. The most recent substantive change adds axis limit arguments to the LS-means plot.
spatstat.random vs tern.mmrm: 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.
tern.mmrm
0.0ANALYTICS
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
◆ Current state
tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022, three of which have just been backfilled into the record. The most recent substantive change adds axis limit arguments to the LS-means plot.
◆ Where it's heading
Content per release is thin and largely organisational: a maintainer change, replacing scda with random.cdisc.data in vignettes, and adapting to new {mmrm} versions. The package appears to be in maintenance, tracking its upstream dependency rather than developing independently. The 2022 entries now visible are release-automation commits, not releases in any meaningful sense.
◆ Prediction
Nothing here signals new functionality; the realistic next event is another compatibility release when {mmrm} or {rtables} changes underneath it.
Alternatives to spatstat.random and tern.mmrm
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 tern.mmrm.
ggmagnify
A single-purpose ggplot2 inset tool, refining the same three arguments.
symengine
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools
gtfstools stopped guarding its own object model and started accepting everyone else's.
quantities
The glue package that makes R carry units and uncertainty through the same calculation.
dietr
A fish diet package whose release history is really a record of surviving rfishbase.
See all spatstat.random alternatives → · See all tern.mmrm alternatives →
Recent activity from spatstat.random and tern.mmrm
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 ⚡
- 6mo agospatstat.randomGaussian random field generation added
- 10mo agospatstat.randomrunifdisc efficiency and fixed-count simulation options
- 1y agospatstat.randomConditional simulation for the cluster process generators
- 1y agospatstat.randomFaster rpoispp for tessellation-defined intensity
- 1y agotern.mmrmAxis limits added to the LS-means plot
- 2y agotern.mmrmMaintainer change and scda replaced in vignettes
- 2y agotern.mmrmCRAN 0.3.0 release, mostly workflow housekeeping
- 3y agotern.mmrmAutomated version bump to 0.2.1
- 3y agotern.mmrmPre-release branch merge
- 4y agotern.mmrmCI automation commit, no release content
Frequently asked questions
What is the difference between spatstat.random and tern.mmrm?
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 tern.mmrm?
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 tern.mmrm?
Top tern.mmrm alternatives in Analytics are ranked by recent ship velocity. Browse the "tern.mmrm alternatives" section above for the current picks, or visit /alternatives/tern-mmrm for the full list with editorial commentary on each.