ANALYTICS
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Alternatives · analytics tools
robma alternatives
The best robma alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to robma? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, robma 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 robma
RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy
RoBMA fits robust Bayesian model-averaged meta-analyses that adjust for publication bias. The 3.x line grew by accretion: separate constructors for each model family (RoBMA.reg, NoBMA, BiBMA and their .reg variants), a spike-and-slab algorithm in 3.3.0 that made estimation fast enough to matter, then a steady stream of post-estimation tooling gated on that algorithm — heterogeneity summaries, residuals, funnel plots, z-curve conversion, predict, extract, pooled and adjusted effects. Version 4.0.0 in May 2026 collapses all of it into a unified brma class hierarchy.
Velocity 0.0 · Last update 42m ago
Top 12 alternatives to robma
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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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The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
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Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
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A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next
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A diagnostic package that generalized past its own name, then learned to say which kind of separation it found
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A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression
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The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
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A customer segmentation package that went quiet for six years and returned with dependency hygiene
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A k-means implementation that just told users their Spearman clustering on missing data was wrong
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A counterfactual estimator turning itself into a platform for multiple estimands
robma 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 |
|---|---|---|---|---|
| robma (baseline) | 0.0 | 0 | r-packagemeta-analysisbayesian | Unifies six model constructors into one brma class hierarchy |
| 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 | — |
| nflreadr | 0.0 | 0 | r-packagesports-analyticsdata-access | — |
| susier | 0.0 | 0 | r-packagestatistical-geneticsfine-mapping | — |
| UCell | 0.0 | 0 | r-packagesingle-cellgene-signatures | — |
| detectseparation | 0.0 | 0 | r-packageregressiondiagnostics | — |
| brglm2 | 0.0 | 0 | r-packageregressionbias-reduction | 1.0.0 adds maximum DY-prior penalized likelihood for logistic regression |
| bayestools | 0.0 | 0 | r-packagebayesianjags | — |
| rfm | 0.0 | 0 | r-packagecustomer-analyticssegmentation | — |
| tglkmeans | 0.0 | 0 | r-packageclusteringmissing-data | — |
| fect | 0.0 | 0 | r-packagecausal-inferencepanel-data | Post-hoc estimand API decouples estimands from the fit |
The 12 best robma alternatives, in depth
1. 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 robma'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 robma leans on r package, meta analysis and bayesian, trendseries focuses on time series, econometrics and r package.
Over the last 30 days trendseries has been shipping faster than robma — a point in its favour if release momentum matters to you.
Full trendseries trajectory → · Compare robma vs trendseries →
2. 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 robma leans on r package, meta analysis and bayesian, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.
qtl2 and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. 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 robma leans on r package, meta analysis and bayesian, r-owidapi focuses on open data, our world in data and r package.
r-owidapi and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. nflreadr · velocity 0.0
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where robma leans on r package, meta analysis and bayesian, nflreadr focuses on r package, sports analytics and data access.
nflreadr and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. susier · velocity 0.0
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where robma leans on r package, meta analysis and bayesian, susier focuses on r package, statistical genetics and fine mapping.
susier and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. UCell · velocity 0.0
A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where robma leans on r package, meta analysis and bayesian, UCell focuses on r package, single cell and gene signatures.
UCell and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. detectseparation · velocity 0.0
A diagnostic package that generalized past its own name, then learned to say which kind of separation it found.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where robma leans on r package, meta analysis and bayesian, detectseparation focuses on r package, regression and diagnostics.
detectseparation and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full detectseparation trajectory → · Compare robma vs detectseparation →
8. brglm2 · velocity 0.0
A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “1.0.0 adds maximum DY-prior penalized likelihood for logistic regression”.
Where robma leans on r package, meta analysis and bayesian, brglm2 focuses on r package, regression and bias reduction.
brglm2 and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. bayestools · velocity 0.0
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where robma leans on r package, meta analysis and bayesian, bayestools focuses on r package, bayesian and jags.
bayestools and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full bayestools trajectory → · Compare robma vs bayestools →
10. rfm · velocity 0.0
A customer segmentation package that went quiet for six years and returned with dependency hygiene.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where robma leans on r package, meta analysis and bayesian, rfm focuses on r package, customer analytics and segmentation.
rfm and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. tglkmeans · velocity 0.0
A k-means implementation that just told users their Spearman clustering on missing data was wrong.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where robma leans on r package, meta analysis and bayesian, tglkmeans focuses on r package, clustering and missing data.
tglkmeans and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. fect · velocity 0.0
A counterfactual estimator turning itself into a platform for multiple estimands.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Post-hoc estimand API decouples estimands from the fit”.
Where robma leans on r package, meta analysis and bayesian, fect focuses on r package, causal inference and panel data.
fect and robma have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to robma?
The top robma alternatives we currently track in analytics tools are trendseries, qtl2, r-owidapi, nflreadr, susier, ranked by recent ship velocity.
How is this list of robma alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare robma directly with one of these alternatives?
Yes — every card has a "Compare with robma" link to a side-by-side /compare page.