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discretefdr vs soilDBdata

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

discretefdr vs soilDBdata: at a glance

FeaturediscretefdrsoilDBdata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmultiple-testing, false-discovery-rate, discrete-statistics, r-packagesoil data, test fixtures, nasis, data package
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

What is discretefdr?

The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.

DiscreteFDR implements false discovery rate procedures adapted for discrete test statistics, where the standard continuous-case corrections are conservative. It now covers a discrete Benjamini-Yekutieli procedure alongside the Benjamini-Hochberg variants it started with, including adaptive versions. Its datasets and test-result classes have been moved out into companion packages, so it increasingly does one job and defers the rest.

Read the full discretefdr trajectory →

What is soilDBdata?

soilDBdata exists so soilDB's tests can run without a NASIS connection.

soilDBdata is a data-only package supplying NASIS and gSSURGO sample datasets as .sqlite assets, installed separately by soilDB's GitHub Actions so unit tests that would otherwise need database access can run. It began as a proof of concept carrying MT663 pedon and component tables used in soil survey coursework, and its most recent release adds a Marshall Islands FY26 gSSURGO dataset. Releases are infrequent and driven by what the parent package needs to test.

Read the full soilDBdata trajectory →

discretefdr vs soilDBdata: editorial side-by-side

D
discretefdr
ANALYTICS
0.0

The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.

◆ Current state

DiscreteFDR implements false discovery rate procedures adapted for discrete test statistics, where the standard continuous-case corrections are conservative. It now covers a discrete Benjamini-Yekutieli procedure alongside the Benjamini-Hochberg variants it started with, including adaptive versions. Its datasets and test-result classes have been moved out into companion packages, so it increasingly does one job and defers the rest.

◆ Where it's heading

The direction is decomposition into a suite. The amnesia dataset went to DiscreteDatasets, summary output now interoperates with the DiscreteTestResults class from DiscreteTests, and match.pvals() stopped being exported — each release trims something that belongs elsewhere. What remains gets methodological additions at a slow, deliberate cadence, with performance work on the step-up procedures that dominate cost when the number of tests is large. Recent activity is maintenance: replacing deprecated calls the package still made of its own siblings. This is a mature statistical package whose release notes are short because the methods underneath them are settled.

◆ Prediction

Expect further alignment with the companion packages rather than new procedures, since the last substantive release was already about interoperating with DiscreteTests classes and the most recent one about clearing deprecations.

S
soilDBdata
ANALYTICS
0.0

soilDBdata exists so soilDB's tests can run without a NASIS connection.

◆ Current state

soilDBdata is a data-only package supplying NASIS and gSSURGO sample datasets as .sqlite assets, installed separately by soilDB's GitHub Actions so unit tests that would otherwise need database access can run. It began as a proof of concept carrying MT663 pedon and component tables used in soil survey coursework, and its most recent release adds a Marshall Islands FY26 gSSURGO dataset. Releases are infrequent and driven by what the parent package needs to test.

◆ Where it's heading

Development follows soilDB rather than leading it: assets get bumped when a soilDB version changes, and purpose lists are updated when soilDB adds a table. The one release that changed what testing is possible was v0.1.1, which added selected-set _View_1 tables alongside whole tables so both SS=TRUE and SS=FALSE code paths could be exercised. Four-year gaps between releases are normal here and do not indicate abandonment — a fixture package only needs to move when the fixtures go stale.

◆ Prediction

The recent addition is a new geography rather than a new table structure, so further releases most likely continue broadening dataset coverage as soilDB gains regions to test against.

Alternatives to discretefdr and soilDBdata

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 discretefdr or soilDBdata.

See all discretefdr alternatives → · See all soilDBdata alternatives →

Recent activity from discretefdr and soilDBdata

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

  1. 3mo agodiscretefdrDeprecated internal calls replaced
  2. 3mo agosoilDBdataMarshall Islands FY26 gSSURGO dataset added
  3. 1y agodiscretefdrDiscrete Benjamini-Yekutieli procedure added
  4. 1y agosoilDBdataMT663 fixtures refreshed for soilDB 2.8.3
  5. 1y agosoilDBdataNASIS purpose lists updated for siteothvegclass
  6. 1y agodiscretefdrDatasets split out and step-up procedures sped up
  7. 4y agosoilDBdataSelected-set _View_1 tables enable SS=TRUE/FALSE testing
  8. 4y agosoilDBdataProof of concept: MT663 pedon and component .sqlite fixtures

Frequently asked questions

What is the difference between discretefdr and soilDBdata?

They serve adjacent needs but don't currently overlap on shipped themes. discretefdr and soilDBdata 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 discretefdr better than soilDBdata?

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

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

What are the best alternatives to soilDBdata?

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