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Comparison · Infra & APIs
DMRnet vs eatGADS
A side-by-side editorial comparison of DMRnet and eatGADS — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
DMRnet vs eatGADS: at a glance
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.
What is eatGADS?
Labelled survey data, one edge case at a time — and the edge cases are all about missing values.
eatGADS manages labelled survey and assessment data in R, the SPSS-descended world of value labels, missing tags, and metadata that has to survive every transformation. Releases are roughly annual and dense. The current one, 1.2.0, is about doing things in bulk: changing value labels, missing tags, and recodings across many variables at once rather than one at a time.
DMRnet vs eatGADS: editorial side-by-side
DMRnet
0.0INFRA · APIS
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.
eatGADS
0.0INFRA · APIS
Labelled survey data, one edge case at a time — and the edge cases are all about missing values.
◆ Current state
eatGADS manages labelled survey and assessment data in R, the SPSS-descended world of value labels, missing tags, and metadata that has to survive every transformation. Releases are roughly annual and dense. The current one, 1.2.0, is about doing things in bulk: changing value labels, missing tags, and recodings across many variables at once rather than one at a time.
◆ Where it's heading
The feature line and the bug line point at the same thing from opposite directions. Features keep widening the aperture — multiple variables, multiple ID variables, comparisons within a single object — while fixes keep landing on the collision between value labels and missing codes, where a value can be labelled NA, duplicated, or tagged and transformed away. extractData() and extractData2() alone absorbed eight separate correctness fixes across the last two releases. The package is hardening the one place labelled data is most likely to lose information.
◆ Prediction
Expect the bulk-operation pattern to spread to the remaining single-variable functions, and continued fixes wherever value labels and missing tags interact; the extraction path is clearly still the weak point.
Alternatives to DMRnet and eatGADS
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 eatGADS.
NGINX
nginx returns to feature work with PROXY v2 upstream writes, and quietly adds JSON to core.
ESPHome
ESPHome closes the 2026.8 cycle, but the release body is a bare link to the real notes.
vcfR
A genomics workhorse whose visible release feed stops dead in mid-2020.
dialr
The R phone-number package stopped only parsing numbers and started asking them where they are.
ggVennDiagram
A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.
See all DMRnet alternatives → · See all eatGADS alternatives →
Recent activity from DMRnet and eatGADS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoDMRnetInvalid lambda.1se computation corrected in cross-validation
- 1y agoDMRnetTest-suite log published ahead of the 0.4.1 release
- 1y agoeatGADSValue labels, missings, and recodes go multi-variable
- 1y agoeatGADSTibble import and within-object difference inspection
- 3y agoDMRnetvar_sel added; GLAMER reworked as a net over tau
- 3y agoDMRnetTest-suite log published ahead of the 0.4.0 release
- 3y agoeatGADSVariable clone, create, insert, and auto-recode round out the toolkit
- 3y agoDMRnetInference, log-likelihood, and degenerate-CV fixes across all model families
- 3y agoDMRnetTest-suite log published ahead of the 0.3.3 release
Frequently asked questions
What is the difference between DMRnet and eatGADS?
Both compete on the same themes — r-package — within Infra & APIs. DMRnet and eatGADS 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 eatGADS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. DMRnet and eatGADS 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 eatGADS?
Top eatGADS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "eatGADS alternatives" section above for the current picks, or visit /alternatives/eatgads for the full list with editorial commentary on each.