metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
marquee vs superspreading
A side-by-side editorial comparison of marquee and superspreading — release velocity, themes, recent moves, and the top alternatives to consider.
marquee vs superspreading: at a glance
What is marquee?
marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.
marquee renders markdown text onto R graphics devices, and backs element_marquee() and geom_marquee() in ggplot2. Development ran in a tight burst through August and September 2025: 1.1.0 added text outlines, a size shortcut and remote PNG/JPEG support, 1.2.0 added border and outline line types and moved underline placement onto font metrics, and 1.2.1 cleaned up the bugs those introduced.
What is superspreading?
superspreading now asks whether a pathogen will emerge at all, not just how unevenly it spreads.
superspreading quantifies individual-level variation in transmission — the offspring distributions and summary metrics behind the 20/80 rule — and calculates probabilities of epidemic, extinction and containment. With 0.4.0 it added probability_emergence(), estimating whether an introduced pathogen can evolve into sustained human-to-human transmission. The package moved from experimental to stable in the same release.
marquee vs superspreading: editorial side-by-side
marquee
0.0ANALYTICS
marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.
◆ Current state
marquee renders markdown text onto R graphics devices, and backs element_marquee() and geom_marquee() in ggplot2. Development ran in a tight burst through August and September 2025: 1.1.0 added text outlines, a size shortcut and remote PNG/JPEG support, 1.2.0 added border and outline line types and moved underline placement onto font metrics, and 1.2.1 cleaned up the bugs those introduced.
◆ Where it's heading
The package is converging on typographic fidelity rather than new capability. Early work settled layout semantics — CSS margin collapsing, inline padding reserving space during shaping, devices without glyph support — and recent releases refine how decorations are drawn and measured. The naming cleanup in 1.2.0, border_size becoming border_width, reads as an API being tidied ahead of wider use rather than one still being explored.
◆ Prediction
Expect continued small releases sanding down rendering edge cases in ggplot2 contexts, since that is where the recent bug reports come from; nothing here signals a new feature area.
superspreading
0.0ANALYTICS
superspreading now asks whether a pathogen will emerge at all, not just how unevenly it spreads.
◆ Current state
superspreading quantifies individual-level variation in transmission — the offspring distributions and summary metrics behind the 20/80 rule — and calculates probabilities of epidemic, extinction and containment. With 0.4.0 it added probability_emergence(), estimating whether an introduced pathogen can evolve into sustained human-to-human transmission. The package moved from experimental to stable in the same release.
◆ Where it's heading
Scope has widened one published framework at a time. 0.2.0 added network-based reproduction numbers, 0.3.0 added the Lloyd-Smith formulation of proportion_transmission() and vendored a branching-process simulator to drop the {bpmodels} dependency, and 0.4.0 implemented and extended the Antia et al. emergence model. Each addition brings a vignette reproducing the source paper's figures, which is how this package treats a method as delivered.
◆ Prediction
The established pattern — implement a published framework, extend it, document it against the original figures — makes another literature-derived addition likelier than internal refactoring.
Alternatives to marquee and superspreading
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 marquee or superspreading.
logrx
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
lobstr
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
GSODR
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
giscoR
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
FedData
FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.
See all marquee alternatives → · See all superspreading alternatives →
Recent activity from marquee and superspreading
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agomarqueeBug fixes for relative sizes, outlines and guide width
- 11mo agomarqueeBorder and outline line types; underlines follow font metrics
- 11mo agomarqueeRotated text width fixed; factor input supported
- 0y agomarqueeText outlines, size shortcuts and images from URLs
- 1y agosuperspreadingprobability_emergence() extends the package into pathogen emergence risk ⚡
- 1y agosuperspreadingLloyd-Smith transmission proportions; bpmodels dependency removed
- 1y agomarquee1.0 settles margin collapsing and inline decoration spacing
- 2y agosuperspreadingNetwork reproduction numbers and joint individual/population control
- 2y agosuperspreadingFirst release: offspring distributions and epidemic risk metrics
Frequently asked questions
What is the difference between marquee and superspreading?
They serve adjacent needs but don't currently overlap on shipped themes. marquee and superspreading 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 marquee better than superspreading?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. marquee and superspreading 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 marquee?
Top marquee alternatives in Analytics are ranked by recent ship velocity. Browse the "marquee alternatives" section above for the current picks, or visit /alternatives/marquee for the full list with editorial commentary on each.
What are the best alternatives to superspreading?
Top superspreading alternatives in Analytics are ranked by recent ship velocity. Browse the "superspreading alternatives" section above for the current picks, or visit /alternatives/superspreading for the full list with editorial commentary on each.