rjdqa
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
A side-by-side editorial comparison of aedseo and spatstat.random — release velocity, themes, recent moves, and the top alternatives to consider.
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.
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.
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.
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.
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.
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.
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.
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.
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 spatstat.random.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
A statistician's personal toolbox, growing one plotting utility at a time
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
See all aedseo alternatives → · See all spatstat.random alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. spatstat.random is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. spatstat.random is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
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.
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.