qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
Comparison · Analytics
ggdemetra vs seriation
A side-by-side editorial comparison of ggdemetra and seriation — release velocity, themes, recent moves, and the top alternatives to consider.
ggdemetra vs seriation: at a glance
What is ggdemetra?
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.
What is seriation?
seriation stopped shipping algorithms and started shipping a way to pick between them.
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
ggdemetra vs seriation: editorial side-by-side
ggdemetra
0.0ANALYTICS
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
◆ Current state
ggdemetra is a thin, focused bridge: it puts RJDemetra's seasonal adjustment results — TRAMO-SEATS and X-13 models — into ggplot2 geoms and autoplot methods. Development runs in short bursts separated by long quiet stretches, and the most recent work has been correcting SI ratio handling rather than adding surface. The API is small enough that a single function rename counts as the notable change in a release.
◆ Where it's heading
The package has been steadily completing its coverage of the seasonal adjustment output surface: component extractors and autoplot methods in 0.2.3, SI ratio plotting in 0.2.5, then two releases of corrections to make SI ratios behave under TRAMO-SEATS jSA models and when no seasonal component is exported. Alongside that, the naming is being tidied — y_forecast() became raw(), and init_ggplot() shortened the setup boilerplate. This reads as a package approaching the edge of its intended scope and spending its effort on correctness.
◆ Prediction
Two consecutive releases fixing SI ratios under TRAMO-SEATS suggest that code path is the least settled part of the package, so further corrections there are the most likely next move. The entries give no indication of new model families or plot types being planned.
seriation
0.0ANALYTICS
seriation stopped shipping algorithms and started shipping a way to pick between them.
◆ Current state
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
◆ Where it's heading
The package has shifted from breadth to judgment. Through 1.3.x the additions were new methods; from 1.5.0 the registry started carrying metadata about the methods — whether they are randomized, what criterion they optimize — so the package could choose and evaluate on the user's behalf. The 1.5.6 replacement of FORTRAN with C for BEA and ME points the same way, reducing the legacy surface underneath that machinery.
◆ Prediction
Further criterion audits are the likeliest next move, since 1.5.8 shows a published definition being reconciled against the implementation and the registry now records what each method optimizes. Expect corrections rather than new seriation algorithms.
Alternatives to ggdemetra and seriation
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 ggdemetra or seriation.
constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
austraits
The R client for AusTraits spends its releases chasing the dataset it reads.
fossilsim
A fossil-record simulator that quietly grew a trait-evolution engine.
tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
tern.mmrm
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all ggdemetra alternatives → · See all seriation alternatives →
Recent activity from ggdemetra and seriation
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 0y agoseriationseriation 1.5.8 realigns linear criterion with Hubert and Schultz
- 1y agoseriationseriation 1.5.7 adds BK_unconstrained, handles tiny inputs
- 1y agoseriationseriation 1.5.6 replaces FORTRAN BEA with C, modernizes allocation
- 2y agoseriationseriation 1.5.5 digest: AOE method, rep parameter, MDS_angle fix
- 2y agoggdemetrasiratio() fix when TRAMO-SEATS exports no seasonal component
- 2y agoggdemetraraw() replaces y_forecast(); new init_ggplot() helper
- 2y agoggdemetraRe-tagged moments later as 0.2.7
- 3y agoseriationseriation 1.5.1 refines pimage, permute and hmap
- 3y agoseriationseriation 1.5.0 adds seriate_best and parallel repeated search ⚡
- 3y agoggdemetraSI ratio plotting functions land
- 5y agoggdemetrats2df() conversion helper and geom_outlier date fix
- 6y agoggdemetrageom_arima no longer recomputes the model
Frequently asked questions
What is the difference between ggdemetra and seriation?
They serve adjacent needs but don't currently overlap on shipped themes. ggdemetra and seriation 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 ggdemetra better than seriation?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggdemetra and seriation 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 ggdemetra?
Top ggdemetra alternatives in Analytics are ranked by recent ship velocity. Browse the "ggdemetra alternatives" section above for the current picks, or visit /alternatives/ggdemetra for the full list with editorial commentary on each.
What are the best alternatives to seriation?
Top seriation alternatives in Analytics are ranked by recent ship velocity. Browse the "seriation alternatives" section above for the current picks, or visit /alternatives/seriation-r for the full list with editorial commentary on each.