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aedseo vs arulesViz

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

Shared themes:r-package

aedseo vs arulesViz: at a glance

FeatureaedseoarulesViz
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, time-series, surveillance, r-packageassociation-rules, visualization, ggplot2, maintenance-mode
Last editorial update1h ago50m ago
WebsiteVisit →Visit →

What is aedseo?

An epidemic-onset detector that now brackets the whole season, not just its start

aedseo is a Statens Serum Institut R package for automated early detection of seasonal epidemic onsets, built around growth-rate estimation over consecutive time intervals. The 1.0.0 line moved it well past its original scope: observations are now modelled as cases or population-adjusted incidence, multiple waves can be estimated in one pass, and disease-specific thresholds are computed by a dedicated function. Version 1.1.0 adds an estimate of when a season has ended after the first onset.

Read the full aedseo trajectory →

What is arulesViz?

arulesViz finished its move to ggplot2 and has been coasting on maintenance since.

arulesViz draws the association rules produced by arules — scatterplots, matrix and grouped-matrix views, rule graphs, and a Shiny explorer. The rendering foundation has been settled since 1.5.0 made ggplot2 the default engine for most plots. The two most recent releases contain no new capability: roxygen migration and deprecation catch-up in 1.5.3, and a partial-argument-match cleanup in 1.5.4 that landed the same week as the identical fix in sibling package seriation.

Read the full arulesViz trajectory →

aedseo vs arulesViz: editorial side-by-side

A
aedseo
ANALYTICS
0.0

An epidemic-onset detector that now brackets the whole season, not just its start

◆ Current state

aedseo is a Statens Serum Institut R package for automated early detection of seasonal epidemic onsets, built around growth-rate estimation over consecutive time intervals. The 1.0.0 line moved it well past its original scope: observations are now modelled as cases or population-adjusted incidence, multiple waves can be estimated in one pass, and disease-specific thresholds are computed by a dedicated function. Version 1.1.0 adds an estimate of when a season has ended after the first onset.

◆ Where it's heading

The arc runs from a single-purpose onset detector toward a full seasonal-surveillance toolkit. Each release since 1.0.0 has widened what the package can say about a season rather than improving how it says it: incidence denominators, background population, multi-wave detection, thresholds, and now season end. Fixes in between are narrow and numerical, such as confidence intervals under ATLAS BLAS.

◆ Prediction

The natural next step is symmetry with the onset machinery the package already has: turning the 1.1.0 seasonal offset into a first-class output alongside onset, with its own summary and plotting methods.

A
arulesViz
ANALYTICS
0.0

arulesViz finished its move to ggplot2 and has been coasting on maintenance since.

◆ Current state

arulesViz draws the association rules produced by arules — scatterplots, matrix and grouped-matrix views, rule graphs, and a Shiny explorer. The rendering foundation has been settled since 1.5.0 made ggplot2 the default engine for most plots. The two most recent releases contain no new capability: roxygen migration and deprecation catch-up in 1.5.3, and a partial-argument-match cleanup in 1.5.4 that landed the same week as the identical fix in sibling package seriation.

◆ Where it's heading

The 2021 releases were a deliberate consolidation. 1.4-0 added ggplot2 engines and cut plotly_arules and the experimental iplots support out of the interface; 1.5.0 promoted ggplot2 to default and exposed the conversions to igraph and matrix so users could build their own views; 1.5-1 filled gaps in the graph and grouped-matrix methods. Since then the package tracks its dependencies rather than extending itself, which is a reasonable end state for a mature visualization layer.

◆ Prediction

Expect continued reactive releases keyed to ggplot2 and igraph deprecations, which have driven two of the last three updates. Nothing in these entries suggests new plot methods are planned.

Alternatives to aedseo and arulesViz

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 aedseo or arulesViz.

See all aedseo alternatives → · See all arulesViz alternatives →

Recent activity from aedseo and arulesViz

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

  1. 6mo agoaedseocombined_seasonal_output() now estimates when a season ends
  2. 8mo agoaedseoFix growth-rate confidence intervals under ATLAS BLAS
  3. 9mo agoaedseoIncidence, population adjustment and multi-wave detection land in 1.0.0
  4. 11mo agoarulesVizarulesViz 1.5.4: partial argument matches, translucent NA color
  5. 2y agoarulesVizarulesViz 1.5.3 moves docs to roxygen, updates deprecated calls
  6. 2y agoaedseoMaintainership transferred to Lasse Engbo Christiansen
  7. 2y agoaedseoepi_calendar() and richer autoplot displays
  8. 2y agoaedseoFirst CRAN release of the aeddo onset detector
  9. 4y agoarulesVizarulesViz 1.5-1 extends graph and grouped-matrix plots
  10. 5y agoarulesVizarulesViz 1.5.0 makes ggplot2 the default plotting engine
  11. 5y agoarulesVizarulesViz 1.4-0 adds ggplot2 engines, drops plotly_arules and iplots
  12. 7y agoarulesVizarulesViz 1.3-3 cleans up the ruleExplorer interface

Frequently asked questions

What is the difference between aedseo and arulesViz?

Both compete on the same themes — r-package — within Analytics. aedseo and arulesViz 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 aedseo better than arulesViz?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. aedseo and arulesViz 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 aedseo?

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

What are the best alternatives to arulesViz?

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