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A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain
Alternatives · analytics tools
discretefdr alternatives
The best discretefdr alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to discretefdr? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, discretefdr shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 42m ago
Top 12 alternatives to discretefdr
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces
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A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
ANALYTICS
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
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The R client for Our World in Data found its search had been reading a tenth of the catalog.
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Text analysis in R keeps optimising its token internals — and builds a path out to torch
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The ModernDive teaching package learns to render inside the browser that runs its own textbook
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The R client for PurpleAir sensors keeps finding its time-averaging was wrong.
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A board game graphics package runs one of the most disciplined deprecation cycles in R.
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The explainable-ensemble-tree package now measures whether its own explanations are faithful.
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A scientific-text analysis package moved from counting citations to classifying argument structure.
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The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
discretefdr vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| discretefdr (baseline) | 0.0 | 0 | multiple-testingfalse-discovery-ratediscrete-statistics | — |
| glmbayes | 6.3 | 1 | bayesian-statisticsgeneralized-linear-modelsopencl | OpenCL split out to nmathopencl; insight and bayestestR integration |
| lstar | 5.0 | 0 | single-cell-genomicszarrwasm | lstar 0.2.0 |
| trendseries | 3.8 | 1 | time-serieseconometricsr-package | Decomposition becomes a first-class operation, five methods deep |
| qtl2 | 2.5 | 0 | qtl-mappingstatistical-geneticsbioinformatics | A genome scan that takes your own likelihood function |
| r-owidapi | 2.5 | 0 | open-dataour-world-in-datar-package | — |
| quanteda | 2.5 | 0 | text-analysisnatural-language-processingr-package | CRAN v4.0 |
| moderndive | 2.5 | 0 | statistics-educationwebrregression | — |
| PurpleAir | 0.0 | 0 | air-qualitysensor-datar-package | — |
| piecepackr | 0.0 | 0 | board-gamesgraphicsr-package | — |
| e2tree | 0.0 | 0 | explainable-aiensemble-methodsdecision-trees | A significance-tested measure of explanation fidelity |
| contentanalysis | 0.0 | 0 | text-analysisbibliometricsscientific-writing | Sentence-level rhetorical move classification arrives |
| relialearnr | 0.0 | 0 | reliability-engineeringr-packageeducation | — |
The 12 best discretefdr alternatives, in depth
1. glmbayes · velocity 6.3
A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain.
Over the last 30 days glmbayes shipped 1 meaningful update vs discretefdr's 0, most recently “OpenCL split out to nmathopencl; insight and bayestestR integration”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, glmbayes focuses on bayesian statistics, generalized linear models and opencl.
Over the last 30 days glmbayes has been shipping faster than discretefdr — a point in its favour if release momentum matters to you.
Full glmbayes trajectory → · Compare discretefdr vs glmbayes →
2. lstar · velocity 5.0
A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces.
Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “lstar 0.2.0”.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, lstar focuses on single cell genomics, zarr and wasm.
lstar and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. trendseries · velocity 3.8
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Over the last 30 days trendseries shipped 1 meaningful update vs discretefdr's 0, most recently “Decomposition becomes a first-class operation, five methods deep”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, trendseries focuses on time series, econometrics and r package.
Over the last 30 days trendseries has been shipping faster than discretefdr — a point in its favour if release momentum matters to you.
Full trendseries trajectory → · Compare discretefdr vs trendseries →
4. qtl2 · velocity 2.5
The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A genome scan that takes your own likelihood function”.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.
qtl2 and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. r-owidapi · velocity 2.5
The R client for Our World in Data found its search had been reading a tenth of the catalog.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, r-owidapi focuses on open data, our world in data and r package.
r-owidapi and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full r-owidapi trajectory → · Compare discretefdr vs r-owidapi →
6. quanteda · velocity 2.5
Text analysis in R keeps optimising its token internals — and builds a path out to torch.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “CRAN v4.0”.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, quanteda focuses on text analysis, natural language processing and r package.
quanteda and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full quanteda trajectory → · Compare discretefdr vs quanteda →
7. moderndive · velocity 2.5
The ModernDive teaching package learns to render inside the browser that runs its own textbook.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, moderndive focuses on statistics education, webr and regression.
moderndive and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full moderndive trajectory → · Compare discretefdr vs moderndive →
8. PurpleAir · velocity 0.0
The R client for PurpleAir sensors keeps finding its time-averaging was wrong.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, PurpleAir focuses on air quality, sensor data and r package.
PurpleAir and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full PurpleAir trajectory → · Compare discretefdr vs PurpleAir →
9. piecepackr · velocity 0.0
A board game graphics package runs one of the most disciplined deprecation cycles in R.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, piecepackr focuses on board games, graphics and r package.
piecepackr and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full piecepackr trajectory → · Compare discretefdr vs piecepackr →
10. e2tree · velocity 0.0
The explainable-ensemble-tree package now measures whether its own explanations are faithful.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “A significance-tested measure of explanation fidelity”.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, e2tree focuses on explainable ai, ensemble methods and decision trees.
e2tree and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. contentanalysis · velocity 0.0
A scientific-text analysis package moved from counting citations to classifying argument structure.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Sentence-level rhetorical move classification arrives”.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, contentanalysis focuses on text analysis, bibliometrics and scientific writing.
contentanalysis and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full contentanalysis trajectory → · Compare discretefdr vs contentanalysis →
12. relialearnr · velocity 0.0
The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where discretefdr leans on multiple testing, false discovery rate and discrete statistics, relialearnr focuses on reliability engineering, r package and education.
relialearnr and discretefdr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full relialearnr trajectory → · Compare discretefdr vs relialearnr →
Frequently asked questions
What are the best alternatives to discretefdr?
The top discretefdr alternatives we currently track in analytics tools are glmbayes, lstar, trendseries, qtl2, r-owidapi, ranked by recent ship velocity.
How is this list of discretefdr alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare discretefdr directly with one of these alternatives?
Yes — every card has a "Compare with discretefdr" link to a side-by-side /compare page.