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RadialMR vs tmap

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

RadialMR vs tmap: at a glance

FeatureRadialMRtmap
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmendelian-randomization, radial-plots, correctness-audit, statistical-inferencethematic-mapping, spatial-data, ggplot-alternative, extensibility
Last editorial update56m ago1h ago
WebsiteVisit →Visit →

What is RadialMR?

RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.

RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().

Read the full RadialMR trajectory →

What is tmap?

Two years after a from-scratch rewrite, tmap is filling in the layers v4 promised.

tmap draws thematic maps in R across static and interactive modes. The 4.0 rewrite replaced the layer syntax with explicit visual variables, scales, legends and charts, and opened the package to extensions; the 4.x line since has been steady capability fill-in. The 4.4 release adds tm_circles with fixed unit-based radii, a blend argument on every layer, and hitboxes so small objects stay clickable in view mode.

Read the full tmap trajectory →

RadialMR vs tmap: editorial side-by-side

R
RadialMR
ANALYTICS
0.0

RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.

◆ Current state

RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().

◆ Where it's heading

This is a package being read closely by its maintainer rather than extended. The 1.2.x line pairs statistical corrections with defensive hardening — an rmr_format class check so unformatted input fails with a clear message, and plotly_radial() dispatching on object class instead of counting list elements. Both are the kind of change made while auditing, not while building.

◆ Prediction

Expect the audit to continue into the remaining estimator internals and print methods rather than new radial variants; the entries show no feature work queued.

T
tmap
ANALYTICS
0.0

Two years after a from-scratch rewrite, tmap is filling in the layers v4 promised.

◆ Current state

tmap draws thematic maps in R across static and interactive modes. The 4.0 rewrite replaced the layer syntax with explicit visual variables, scales, legends and charts, and opened the package to extensions; the 4.x line since has been steady capability fill-in. The 4.4 release adds tm_circles with fixed unit-based radii, a blend argument on every layer, and hitboxes so small objects stay clickable in view mode.

◆ Where it's heading

The extension mechanism introduced in 4.0 is where the interesting work is migrating: PMTiles support arrived through a separate experimental tmap.sources package, mode cycling became configurable via tmap_mode_pool() so packages like tmap.mapgl can register themselves, and shiny dispatch methods were added specifically to let other modes integrate. The core package is increasingly a rendering contract that satellite packages plug into.

◆ Prediction

Expect more rendering backends to land as sibling packages rather than in tmap itself, with the core continuing to absorb the dispatch and mode-management plumbing they need.

Alternatives to RadialMR and tmap

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 RadialMR or tmap.

See all RadialMR alternatives → · See all tmap alternatives →

Recent activity from RadialMR and tmap

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

  1. 1mo agoRadialMRegger_radial() degrees of freedom corrected to n-2
  2. 1mo agotmapDocumentation-only patch tidying man-page titles
  3. 1mo agotmaptm_circles, layer blending and clickable small objects
  4. 3mo agoRadialMRroxygen2 bumped; package-level helpfile added
  5. 4mo agoRadialMRUnspecified codebase optimizations
  6. 1y agoRadialMRggplot2 v4 warning removed from plot_radial()
  7. 1y agotmaptmap v4 rewritten from scratch with a new layer syntax
  8. 1y agotmapFinal 3.x release before the v4 rewrite

Frequently asked questions

What is the difference between RadialMR and tmap?

They serve adjacent needs but don't currently overlap on shipped themes. RadialMR and tmap are shipping at a similar cadence (velocity 0.0 vs 0.0, 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 RadialMR better than tmap?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. RadialMR and tmap are shipping at a similar cadence (velocity 0.0 vs 0.0, 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 RadialMR?

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

What are the best alternatives to tmap?

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