ANALYTICS
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
Alternatives · analytics tools
susier alternatives
The best susier alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to susier? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, susier 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 susier
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.
Velocity 0.0 · Last update 43m ago
Top 12 alternatives to susier
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.
ANALYTICS
The R client for Our World in Data found its search had been reading a tenth of the catalog.
ANALYTICS
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
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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
ANALYTICS
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
ANALYTICS
RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy
ANALYTICS
A customer segmentation package that went quiet for six years and returned with dependency hygiene
ANALYTICS
A k-means implementation that just told users their Spearman clustering on missing data was wrong
ANALYTICS
A counterfactual estimator turning itself into a platform for multiple estimands
susier 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 |
|---|---|---|---|---|
| susier (baseline) | 0.0 | 0 | r-packagestatistical-geneticsfine-mapping | — |
| 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 | — |
| 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 | — |
| robma | 0.0 | 0 | r-packagemeta-analysisbayesian | Unifies six model constructors into one brma class hierarchy |
| 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 susier 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 susier'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 susier leans on r package, statistical genetics and fine mapping, trendseries focuses on time series, econometrics and r package.
Over the last 30 days trendseries has been shipping faster than susier — a point in its favour if release momentum matters to you.
Full trendseries trajectory → · Compare susier 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 susier leans on r package, statistical genetics and fine mapping, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.
qtl2 and susier 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 susier leans on r package, statistical genetics and fine mapping, r-owidapi focuses on open data, our world in data and r package.
r-owidapi and susier 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 susier leans on r package, statistical genetics and fine mapping, nflreadr focuses on r package, sports analytics and data access.
nflreadr and susier have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. 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 susier leans on r package, statistical genetics and fine mapping, UCell focuses on r package, single cell and gene signatures.
UCell and susier have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. 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 susier leans on r package, statistical genetics and fine mapping, detectseparation focuses on r package, regression and diagnostics.
detectseparation and susier 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 susier vs detectseparation →
7. 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 susier leans on r package, statistical genetics and fine mapping, brglm2 focuses on r package, regression and bias reduction.
brglm2 and susier have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. 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 susier leans on r package, statistical genetics and fine mapping, bayestools focuses on r package, bayesian and jags.
bayestools and susier 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 susier vs bayestools →
9. robma · velocity 0.0
RoBMA 4.0 tears out its own constructor surface and rebuilds on one class hierarchy.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Unifies six model constructors into one brma class hierarchy”.
Where susier leans on r package, statistical genetics and fine mapping, robma focuses on r package, meta analysis and bayesian.
robma and susier have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
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 susier leans on r package, statistical genetics and fine mapping, rfm focuses on r package, customer analytics and segmentation.
rfm and susier 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 susier leans on r package, statistical genetics and fine mapping, tglkmeans focuses on r package, clustering and missing data.
tglkmeans and susier 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 susier leans on r package, statistical genetics and fine mapping, fect focuses on r package, causal inference and panel data.
fect and susier 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 susier?
The top susier alternatives we currently track in analytics tools are trendseries, qtl2, r-owidapi, nflreadr, UCell, ranked by recent ship velocity.
How is this list of susier alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare susier directly with one of these alternatives?
Yes — every card has a "Compare with susier" link to a side-by-side /compare page.