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Comparison · Infra & APIs

DMRnet vs funcharts

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

Shared themes:r-package

DMRnet vs funcharts: at a glance

FeatureDMRnetfuncharts
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesvariable-selection, high-dimensional, categorical-data, r-packagefunctional-data, control-charts, statistical-process-control, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is DMRnet?

A categorical-variable selection package that publishes its full test logs as release candidates.

DMRnet implements delete-or-merge-regressors model selection for high-dimensional categorical data, alongside SOSnet and GLAMER variants from the same research group. Development is slow and academic — 0.4.0 in 2023, then two years to 0.4.1 in August 2025, which corrects an invalid lambda.1se computation and the cross-validation plots that displayed it. Every real release is preceded days earlier by a release-candidate entry containing the raw output of the correctness and consistency test suite.

Read the full DMRnet trajectory →

What is funcharts?

One paper, one release: the functional control chart package ships methods as they get published.

funcharts implements control charts for functional data — statistical process control where each observation is a curve rather than a number. Its release cadence maps one-to-one onto its authors' publication record: 1.4.0 delivered the robust multivariate framework from Capezza et al. (2022), 1.7.0 the adaptive chart from Centofanti et al. (2025) as it was accepted at Technometrics. Each release adds Phase I and Phase II functions for one named method.

Read the full funcharts trajectory →

DMRnet vs funcharts: editorial side-by-side

D
DMRnet
INFRA · APIS
0.0

A categorical-variable selection package that publishes its full test logs as release candidates.

◆ Current state

DMRnet implements delete-or-merge-regressors model selection for high-dimensional categorical data, alongside SOSnet and GLAMER variants from the same research group. Development is slow and academic — 0.4.0 in 2023, then two years to 0.4.1 in August 2025, which corrects an invalid lambda.1se computation and the cross-validation plots that displayed it. Every real release is preceded days earlier by a release-candidate entry containing the raw output of the correctness and consistency test suite.

◆ Where it's heading

The package is converging on correctness rather than expanding. 0.3.3 was a wall of fixes to inference, log-likelihood, and degenerate cross-validation cases; 0.4.0 added the var_sel algorithm and brought GLAMER into the package's own net idiom over its tau parameter; 0.4.1 is again a statistical correctness fix. The published test-log releases are the tell — this maintainer treats reproducible evidence that hard cases still pass as part of the release artifact, which is unusual outside academic statistical software.

◆ Prediction

Given the two-year gap before 0.4.1 and its narrow scope, the next release is most likely another correctness fix arriving on a multi-year cadence, again preceded by a full test-log release candidate.

F
funcharts
INFRA · APIS
0.0

One paper, one release: the functional control chart package ships methods as they get published.

◆ Current state

funcharts implements control charts for functional data — statistical process control where each observation is a curve rather than a number. Its release cadence maps one-to-one onto its authors' publication record: 1.4.0 delivered the robust multivariate framework from Capezza et al. (2022), 1.7.0 the adaptive chart from Centofanti et al. (2025) as it was accepted at Technometrics. Each release adds Phase I and Phase II functions for one named method.

◆ Where it's heading

The early releases were about the package as software — vectorised tensor products, precomputed B-spline inner products, faster cross-validation — and about removing assumptions, most consequentially the assumption that functional data is represented in a B-spline basis. Since 1.4.0 the software work has stopped and the package has become a delivery vehicle for the research group's methods. Robustness came first, adaptivity second, both arriving with the paper rather than ahead of it.

◆ Prediction

The next release will most likely implement whatever this group publishes next, following the same Phase I / Phase II function pairing; nothing in the feed suggests infrastructure work resuming.

Alternatives to DMRnet and funcharts

Other Infra & APIs 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 DMRnet or funcharts.

See all DMRnet alternatives → · See all funcharts alternatives →

Recent activity from DMRnet and funcharts

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

  1. 1y agoDMRnetInvalid lambda.1se computation corrected in cross-validation
  2. 1y agoDMRnetTest-suite log published ahead of the 0.4.1 release
  3. 1y agofunchartsAdaptive multivariate functional control chart added
  4. 2y agofunchartsRobust multivariate framework: filtering, imputation, and both phases
  5. 3y agoDMRnetvar_sel added; GLAMER reworked as a net over tau
  6. 3y agoDMRnetTest-suite log published ahead of the 0.4.0 release
  7. 3y agofunchartsAll fda basis systems accepted, not just B-splines
  8. 3y agoDMRnetInference, log-likelihood, and degenerate-CV fixes across all model families
  9. 3y agoDMRnetTest-suite log published ahead of the 0.3.3 release
  10. 3y agofunchartsVectorised inner products and cross-validation, seed argument dropped

Frequently asked questions

What is the difference between DMRnet and funcharts?

Both compete on the same themes — r-package — within Infra & APIs. DMRnet and funcharts 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 DMRnet better than funcharts?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. DMRnet and funcharts 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to DMRnet?

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

What are the best alternatives to funcharts?

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