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discretefdr vs rainette

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

discretefdr vs rainette: at a glance

Featurediscretefdrrainette
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmultiple-testing, false-discovery-rate, discrete-statistics, r-packagetext mining, reinert method, clustering, shiny explorers
Last editorial update4h ago1h 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 rainette?

rainette rebuilt its Reinert clustering in 0.2.0, tuned it in 0.3.0, and has coasted since.

An R implementation of the Reinert textual clustering method, with interactive explorers for browsing clusters. The two substantive releases are behind it: 0.2.0 renamed the core segment-size arguments, fixed segment merging that had been crossing document boundaries, and added a document browser plus per-document cluster tables; 0.3.0 reworked the double classification in rainette2() with full and parallel arguments and much faster computation. The 2026 release is a vctrs compatibility fix plus a colors argument on rainette_plot().

Read the full rainette trajectory →

discretefdr vs rainette: 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.

R
rainette
ANALYTICS
0.0

rainette rebuilt its Reinert clustering in 0.2.0, tuned it in 0.3.0, and has coasted since.

◆ Current state

An R implementation of the Reinert textual clustering method, with interactive explorers for browsing clusters. The two substantive releases are behind it: 0.2.0 renamed the core segment-size arguments, fixed segment merging that had been crossing document boundaries, and added a document browser plus per-document cluster tables; 0.3.0 reworked the double classification in rainette2() with full and parallel arguments and much faster computation. The 2026 release is a vctrs compatibility fix plus a colors argument on rainette_plot().

◆ Where it's heading

The package moved from correct-enough to trustworthy and then to maintained: results-changing fixes first, performance and options second, and now only upstream compatibility and small user-requested arguments. Wordcloud plots were flagged for deprecation in 0.3.0 and pulled from the explorers, narrowing the output surface rather than growing it. The same maintainer's questionr followed the same pattern in the same period.

◆ Prediction

The deprecated wordcloud plot type is the obvious removal candidate, since it has carried a warning since 0.3.0 and has already been dropped from the interactive explorers.

Alternatives to discretefdr and rainette

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 rainette.

See all discretefdr alternatives → · See all rainette alternatives →

Recent activity from discretefdr and rainette

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

  1. 3mo agodiscretefdrDeprecated internal calls replaced
  2. 7mo agorainettevctrs compatibility fix and custom cluster colors
  3. 1y agodiscretefdrDiscrete Benjamini-Yekutieli procedure added
  4. 1y agodiscretefdrDatasets split out and step-up procedures sped up
  5. 3y agorainetteR 3.6 palette compatibility and dendrogram fix
  6. 4y agorainetteDouble classification reworked with restricted crossings and parallelism
  7. 4y agorainetteMerged segments visible in the document browser
  8. 4y agorainetteCRAN v0.2.0

Frequently asked questions

What is the difference between discretefdr and rainette?

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

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

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