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discretefdr vs ibis.iSDM

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

Shared themes:r-package

discretefdr vs ibis.iSDM: at a glance

Featurediscretefdribis.iSDM
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmultiple-testing, false-discovery-rate, discrete-statistics, r-packager-package, species-distribution-models, terra, spatial
Last editorial update6h ago55m 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 ibis.iSDM?

A raster-to-terra migration is the only readable change in a feed of merge notes.

ibis.iSDM fits integrated species distribution models in R. Its release notes are GitHub's auto-generated pull-request lists, so most tags say only which branch was merged and by whom. The one release with a written note, 0.0.5, records the migration from raster to terra across the whole package, with an explicit warning that established code may break.

Read the full ibis.iSDM trajectory →

discretefdr vs ibis.iSDM: 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.

I
ibis.iSDM
ANALYTICS
0.0

A raster-to-terra migration is the only readable change in a feed of merge notes.

◆ Current state

ibis.iSDM fits integrated species distribution models in R. Its release notes are GitHub's auto-generated pull-request lists, so most tags say only which branch was merged and by whom. The one release with a written note, 0.0.5, records the migration from raster to terra across the whole package, with an explicit warning that established code may break.

◆ Where it's heading

Direction cannot be read from this feed with any confidence - three of the four visible tags carry nothing beyond merge titles and a full-changelog link. What is visible is a 2023 spent on dependency modernisation and dev-branch merges, ending with a 0.1.1 tag that December and nothing since.

◆ Prediction

These entries do not support a prediction; the notes would have to carry written content before a direction could be read from them.

Alternatives to discretefdr and ibis.iSDM

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 ibis.iSDM.

See all discretefdr alternatives → · See all ibis.iSDM alternatives →

Recent activity from discretefdr and ibis.iSDM

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

  1. 3mo agodiscretefdrDeprecated internal calls replaced
  2. 1y agodiscretefdrDiscrete Benjamini-Yekutieli procedure added
  3. 1y agodiscretefdrDatasets split out and step-up procedures sped up
  4. 2y agoibis.iSDMVersion 0.1.1
  5. 3y agoibis.iSDMVersion 0.0.7
  6. 3y agoibis.iSDMVersion 0.0.6
  7. 3y agoibis.iSDMraster replaced by terra across the package

Frequently asked questions

What is the difference between discretefdr and ibis.iSDM?

Both compete on the same themes — r-package — within Analytics. discretefdr and ibis.iSDM 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 ibis.iSDM?

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

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