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Comparison · Analytics
clinify vs spatstat.geom
A side-by-side editorial comparison of clinify and spatstat.geom — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
clinify vs spatstat.geom: 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.geom?
The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics
spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.
clinify vs spatstat.geom: 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.geom
2.5ANALYTICS
The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics
◆ Current state
spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.
◆ Where it's heading
Two threads run through this window. The first is a family-wide push into 3D that originated in the simulation package and has now reached the geometry layer. The second is a slower semantic change: 3.5-0 introduced missing or unavailable (NA) spatial objects, and 3.6-0 followed with more facilities for handling them, meaning an absent window or image became a representable value rather than an error. Around both, the plotting and discretisation code accretes steadily — nonlinear colour maps, plot backgrounds, transparency control, signed distance transforms, and repeated attention to boundary pixels.
◆ Prediction
Expect the 3D surface here to keep filling in behind the simulation package rather than leading it, given that 3.8-2 follows the 3D simulation release by two months. The entries give no indication that the NA work is finished, since it has already spanned two releases.
Alternatives to clinify and spatstat.geom
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.geom.
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.geom alternatives →
Recent activity from clinify and spatstat.geom
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 13d agoclinifyFiner header merging, spanner rules and header padding
- 20d agospatstat.geomMore three-dimensional point pattern capabilities
- 2mo agospatstat.geomBetter boundary pixel handling when discretising windows
- 6mo agospatstat.geomAnalytic level sets and signed distance transforms
- 10mo agospatstat.geomNA object handling extended; clickpoly gains grid snapping
- 1y agospatstat.geomNA spatial objects, hole removal and connected components
- 1y agoclinifyclindoc document objects and automatic pagination
- 1y agospatstat.geomNonlinear colour and symbol maps; half-open quadrat tiles
Frequently asked questions
What is the difference between clinify and spatstat.geom?
Both compete on the same themes — r-package — within Analytics. clinify and spatstat.geom 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.geom?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. clinify and spatstat.geom 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.geom?
Top spatstat.geom alternatives in Analytics are ranked by recent ship velocity. Browse the "spatstat.geom alternatives" section above for the current picks, or visit /alternatives/spatstat-geom for the full list with editorial commentary on each.