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Comparison · Analytics
clinify vs spatstat.random
A side-by-side editorial comparison of clinify and spatstat.random — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
clinify vs spatstat.random: at a glance
What is clinify?
Clinical-table typesetting for R, closing the gap between R output and regulatory Word documents
clinify renders clinical trial tables into Word documents through {officer}, aiming at the layout conventions regulatory submissions expect. 0.4.0 is the current CRAN release and folds in an unreleased 0.3.1. The recent work is almost entirely about header and spacing control: which adjacent header cells merge, where the rule under a spanner starts and stops, and how much vertical space sits above, below and between header rows and the table body.
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.
clinify vs spatstat.random: editorial side-by-side
clinify
2.5ANALYTICS
Clinical-table typesetting for R, closing the gap between R output and regulatory Word documents
◆ Current state
clinify renders clinical trial tables into Word documents through {officer}, aiming at the layout conventions regulatory submissions expect. 0.4.0 is the current CRAN release and folds in an unreleased 0.3.1. The recent work is almost entirely about header and spacing control: which adjacent header cells merge, where the rule under a spanner starts and stops, and how much vertical space sits above, below and between header rows and the table body.
◆ Where it's heading
The package is moving from producing a correct table toward producing one that survives an organisation's house style. 0.4.0's additions are all written to hold under a customised `clinify_table_default()` — `clin_spanner_rule()` draws after the default styling function so it persists when a house style clears the borders it started from, and takes an `officer::fp_border()` or `FALSE` so a style can decline the rule entirely. The earlier 0.3.0 line did the structural work, introducing `clindoc()` document objects that accept multiple tables plus automatic pagination.
◆ Prediction
Expect continued refinement of layout primitives that follow the table rather than fixed column numbers, since both new 0.4.0 functions were built specifically to track spanners and headers as a layout changes. The entries do not indicate a move beyond Word output.
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.
Alternatives to clinify 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 clinify or spatstat.random.
kernelshap
kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.
filtro
filtro moves to S7 and multiplies its feature-scoring methods in a single release.
modeltime.resample
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
modeltime.ensemble
modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.
shapviz
shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.
See all clinify alternatives → · See all spatstat.random alternatives →
Recent activity from clinify and spatstat.random
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 13d agoclinifyFiner header merging, spanner rules and header padding
- 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 agoclinifyclindoc document objects and automatic pagination
- 1y agospatstat.randomConditional simulation for the cluster process generators
- 1y agospatstat.randomFaster rpoispp for tessellation-defined intensity
Frequently asked questions
What is the difference between clinify and spatstat.random?
Both compete on the same themes — r-package — within Analytics. clinify and spatstat.random are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 clinify better than spatstat.random?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. clinify and spatstat.random are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 clinify?
Top clinify alternatives in Analytics are ranked by recent ship velocity. Browse the "clinify alternatives" section above for the current picks, or visit /alternatives/clinify-r 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.