← Back to home
Comparison · Analytics

susier vs tEDM

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

Shared themes:r-package

susier vs tEDM: at a glance

FeaturesusiertEDM
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, statistical-genetics, fine-mapping, cpp-bindingscausal-inference, time-series, empirical-dynamic-modeling, r-package
Last editorial update1h ago39m ago
WebsiteVisit →Visit →

What is susier?

Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs

susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.

Read the full susier trajectory →

What is tEDM?

The temporal half of the stscl EDM pair, tracking its spatial sibling

tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.

Read the full tEDM trajectory →

susier vs tEDM: editorial side-by-side

S
susier
ANALYTICS
0.0

Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs

◆ Current state

susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.

◆ Where it's heading

The version-number churn understates how narrow this work is — four consecutive releases touching the same trimming and residual-variance machinery suggests one area where the implementation and the intended behavior had drifted apart. The 0.16.0 binding migration is the only structural change, and it is invisible to users while mattering for build portability and long-term maintenance. Development is clearly active, with automated release tooling and dependency bumps flowing through the same stream.

◆ Prediction

With the binding migration just landed, near-term releases are likely to address fallout from it alongside continued fixes in the same trimming and residual-variance code.

T
tEDM
ANALYTICS
0.0

The temporal half of the stscl EDM pair, tracking its spatial sibling

◆ Current state

tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.

◆ Where it's heading

tEDM moves in lockstep with spEDM. Configurable distance metrics, varying E/k/tau inputs, strict floating-point comparison and the S3 plotting font unification all appear in both packages within days or weeks, as does the maintainer surname correction. The recent balance has tilted toward correcting library and prediction index handling — the kind of repeated attention that suggests the indexing model was the weak point of the shared core.

◆ Prediction

Expect tEDM to keep inheriting the shared-core changes spEDM lands, with its own releases staying small and centred on cross-mapping parameter handling rather than new method surface.

Alternatives to susier and tEDM

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 susier or tEDM.

See all susier alternatives → · See all tEDM alternatives →

Recent activity from susier and tEDM

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

  1. 3mo agosusierMigrates C++ bindings from Rcpp to cpp11 and cpp11armadillo
  2. 3mo agosusierFixes alpha0/beta0 handling under Servin-Stephens
  3. 4mo agotEDMMaintainer name corrected, published paper cited
  4. 4mo agosusierCorrects the null space ELBO term for RSS with X
  5. 5mo agosusierFixes null effect trimming with non-uniform prior weights
  6. 5mo agosusierFixes null effect trimming under Servin-Stephens estimation
  7. 7mo agotEDMCross-mapping index handling corrected, generics accept varying E, k, tau
  8. 11mo agotEDMConfigurable distance metrics for cross mapping

Frequently asked questions

What is the difference between susier and tEDM?

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

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

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

What are the best alternatives to tEDM?

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