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discretefdr vs ecotraj

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

Shared themes:r-package

discretefdr vs ecotraj: at a glance

Featurediscretefdrecotraj
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmultiple-testing, false-discovery-rate, discrete-statistics, r-packageecology, trajectory-analysis, community-dynamics, r-package
Last editorial update46m 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 ecotraj?

Ecological trajectory analysis builds out its cyclical branch, largely through one contributor

ecotraj analyses ecological community trajectories through multivariate space, and since 1.0.0 has carried cyclical ecological trajectory analysis (CETA) alongside the linear methods. Recent releases add convergence plotting, cycle shift arrows, correspondence and reduced major axis functions, and now trajectory averaging — most credited to a single contributor, N. Djeghri. Several older release notes are bare pointers to NEWS rather than descriptions.

Read the full ecotraj trajectory →

discretefdr vs ecotraj: 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.

E
ecotraj
ANALYTICS
0.0

Ecological trajectory analysis builds out its cyclical branch, largely through one contributor

◆ Current state

ecotraj analyses ecological community trajectories through multivariate space, and since 1.0.0 has carried cyclical ecological trajectory analysis (CETA) alongside the linear methods. Recent releases add convergence plotting, cycle shift arrows, correspondence and reduced major axis functions, and now trajectory averaging — most credited to a single contributor, N. Djeghri. Several older release notes are bare pointers to NEWS rather than descriptions.

◆ Where it's heading

The centre of gravity has shifted to cycles. The 1.0.0 release introduced CETA and reworked the underlying data structures for it, and every release since extends the cyclical branch or teaches an existing function to handle cycle objects — trajectoryDistances now compares cycles using dates for time comparison, and averageTrajectories covers both trajectories and cycles. A dependency on the MannKendall package was dropped in favour of base cor.test, trimming the install footprint.

◆ Prediction

The pattern of teaching existing linear-trajectory functions to accept cycle objects has repeated across several releases, so further functions gaining cycle support is the most grounded expectation.

Alternatives to discretefdr and ecotraj

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 ecotraj.

See all discretefdr alternatives → · See all ecotraj alternatives →

Recent activity from discretefdr and ecotraj

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

  1. 2mo agoecotrajTrajectory averaging and cycle-aware distance comparison
  2. 3mo agodiscretefdrDeprecated internal calls replaced
  3. 9mo agoecotrajConvergence plots, RMA functions, and one fewer dependency
  4. 11mo agoecotrajTrajectory definition and convergence fixes
  5. 1y agoecotrajECOTRAJ ver. 1.1.0
  6. 1y agoecotrajECOTRAJ ver. 1.0.0
  7. 1y agodiscretefdrDiscrete Benjamini-Yekutieli procedure added
  8. 1y agodiscretefdrDatasets split out and step-up procedures sped up
  9. 2y agoecotrajECOTRAJ ver. 0.1.1

Frequently asked questions

What is the difference between discretefdr and ecotraj?

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

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

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