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MVMR alternatives

The best MVMR alternatives in analytics tools, ranked by Sparkpulse's velocity_score.

Updated Aug 15, 2026

Looking for the best alternatives to MVMR? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, MVMR 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 MVMR

MVMR spent 2026 discovering its own estimators had been returning the wrong numbers

MVMR implements multivariable Mendelian randomization — conditional instrument strength, pleiotropy tests and heterogeneity-robust effect estimation from GWAS summary data. The package has been releasing steadily through 2026, and the substantive releases are all corrections rather than features. Two core routines were found to be computing the wrong quantity outright: qhet_mvmr() built weights from the minimised objective value instead of the minimiser, and strhet_mvmr() never minimised the Q-statistic at all.

Velocity 0.0 · Last update 1h ago

Read the full MVMR trajectory →

Top 12 alternatives to MVMR

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

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MVMR 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.

ProductVelocitySparks · 30dFocus areasLatest release
MVMR (baseline)0.00mendelian randomizationrcausal inference
hdnom5.00survival analysisrregularization
rncl2.50phylogeneticsfile-parsingcran-maintenance
APCalign2.50taxonomyraustralian flora
ggsci2.50color palettesggplot2rggsci 5.0.0 generates categorical colors instead of serving a fixed list
ggcorrplot2.50correlationrggplot2
OHPL0.00chemometricsvariable-selectionspectroscopy
fastplyr0.00dataframe-performancedplyr-alternativequery-optimization
trias0.00invasive-speciesbiodiversitygbif
icesSAG0.00fisheries-scienceapi-clienticesEvery function repointed at a new API, with JWT auth
dggridR0.00discrete-global-gridsspatial-indexinggeospatialCell neighbors, parents and children make the grid navigable
vegan0.00community-ecologyordinationdeprecationOrdination graphics rebuilt and adonis made defunct
ichimoku0.00financial-chartingtechnical-analysisdependency-reduction

The 12 best MVMR alternatives, in depth

1. hdnom · velocity 5.0

Hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to.

Its velocity score of 5.0/10 reflects longer-term release cadence.

Where MVMR leans on mendelian randomization, r and causal inference, hdnom focuses on survival analysis, r and regularization.

hdnom and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

2. rncl · velocity 2.5

A phylogenetics parser on life support, shipping only what CRAN's compilers demand.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where MVMR leans on mendelian randomization, r and causal inference, rncl focuses on phylogenetics, file parsing and cran maintenance.

rncl and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

3. APCalign · velocity 2.5

APCalign spent this year fixing the counts it had been quietly getting wrong.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where MVMR leans on mendelian randomization, r and causal inference, APCalign focuses on taxonomy, r and australian flora.

APCalign and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

4. ggsci · velocity 2.5

Ggsci quietly became a palette mirror, then taught itself to generate colors on demand.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “ggsci 5.0.0 generates categorical colors instead of serving a fixed list”.

Where MVMR leans on mendelian randomization, r and causal inference, ggsci focuses on color palettes, ggplot2 and r.

ggsci and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

5. ggcorrplot · velocity 2.5

Ggcorrplot came back after four years and found its significance markers had been lying.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where MVMR leans on mendelian randomization, r and causal inference, ggcorrplot focuses on correlation, r and ggplot2.

ggcorrplot and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

6. OHPL · velocity 0.0

A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where MVMR leans on mendelian randomization, r and causal inference, OHPL focuses on chemometrics, variable selection and spectroscopy.

OHPL and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. fastplyr · velocity 0.0

A fast dplyr stand-in that keeps finding new places to skip work entirely.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where MVMR leans on mendelian randomization, r and causal inference, fastplyr focuses on dataframe performance, dplyr alternative and query optimization.

fastplyr and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. trias · velocity 0.0

Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where MVMR leans on mendelian randomization, r and causal inference, trias focuses on invasive species, biodiversity and gbif.

trias and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. icesSAG · velocity 0.0

The ICES stock assessment client took upload away in 2024 and spent two years giving it back.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Every function repointed at a new API, with JWT auth”.

Where MVMR leans on mendelian randomization, r and causal inference, icesSAG focuses on fisheries science, api client and ices.

icesSAG and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

10. dggridR · velocity 0.0

A discrete global grid generator grew cell traversal and became a usable spatial index.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Cell neighbors, parents and children make the grid navigable”.

Where MVMR leans on mendelian randomization, r and causal inference, dggridR focuses on discrete global grids, spatial indexing and geospatial.

dggridR and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. vegan · velocity 0.0

Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Ordination graphics rebuilt and adonis made defunct”.

Where MVMR leans on mendelian randomization, r and causal inference, vegan focuses on community ecology, ordination and deprecation.

vegan and MVMR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

12. ichimoku · velocity 0.0

A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where MVMR leans on mendelian randomization, r and causal inference, ichimoku focuses on financial charting, technical analysis and dependency reduction.

ichimoku and MVMR 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 MVMR?

The top MVMR alternatives we currently track in analytics tools are hdnom, rncl, APCalign, ggsci, ggcorrplot, ranked by recent ship velocity.

How is this list of MVMR alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare MVMR directly with one of these alternatives?

Yes — every card has a "Compare with MVMR" link to a side-by-side /compare page.