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stdmod alternatives

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

Updated Aug 16, 2026

Looking for the best alternatives to stdmod? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, stdmod shipped 0 meaningful updates in the last 30 days and carries a velocity score of 2.5 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.

About stdmod

A moderation-analysis package now pointing users at its own siblings for the harder work.

stdmod computes standardized moderation effects in regression, part of a cluster of R packages from the same author covering moderation, mediation and model comparison. Its release feed is a CRAN-announcement format — several entries carry nothing but a version and a link — and its development has slowed markedly, with the substantive feature work sitting back in 2024. The most recent release is documentation rather than code.

Velocity 2.5 · Last update 54m ago

Read the full stdmod trajectory →

Top 12 alternatives to stdmod

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

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stdmod 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
stdmod (baseline)2.50moderation-analysisregressionstatistics
tulpaObs6.31occupancy-modelingbayesian-inferencecalibrationEvery diagnostic becomes one verb dispatched on the fit (breaking)
tulpa6.31bayesian-inferencenested-laplacediagnosticsCalibration and goodness-of-fit entry points become S3 generics
mritc5.00medical-imagingr-packagemaintainer-change
topocast2.50geospatialclimate-datadownscaling
modelbpp2.50structural-equation-modelingstatisticsr-package
mcptools2.50mcpllm-toolingr-packagemcptools runs as a Posit Connect R API engine
hubEvals2.50forecast-evaluationscoringepidemiologySample output types and multivariate compound scoring
reporter2.50clinical-reportingdocument-generationsas-migration
libr2.50sas-migrationdata-processingperformancedatastep() runs 83K rows in 21.6 seconds instead of 6.7 minutes
logr2.50loggingr-packagesas-migration
tidycmprsk0.00competing-riskssurvival-analysistidyverse
SeuratObject0.00single-cellspatial-transcriptomicsdata-structures

The 12 best stdmod alternatives, in depth

1. tulpaObs · velocity 6.3

An occupancy-modeling package that just deleted its own duplicate vocabulary for diagnostics.

Over the last 30 days tulpaObs shipped 1 meaningful update vs stdmod's 0, most recently “Every diagnostic becomes one verb dispatched on the fit (breaking)”. Its velocity score of 6.3/10 blends that with longer-term release cadence.

Where stdmod leans on moderation analysis, regression and statistics, tulpaObs focuses on occupancy modeling, bayesian inference and calibration.

Over the last 30 days tulpaObs has been shipping faster than stdmod — a point in its favour if release momentum matters to you.

2. tulpa · velocity 6.3

A Bayesian spatial engine reshaping itself so downstream packages own their own diagnostics.

Over the last 30 days tulpa shipped 1 meaningful update vs stdmod's 0, most recently “Calibration and goodness-of-fit entry points become S3 generics”. Its velocity score of 6.3/10 blends that with longer-term release cadence.

Where stdmod leans on moderation analysis, regression and statistics, tulpa focuses on bayesian inference, nested laplace and diagnostics.

Over the last 30 days tulpa has been shipping faster than stdmod — a point in its favour if release momentum matters to you.

3. mritc · velocity 5.0

A dormant MRI tissue-classification package revived under a new maintainer.

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

Where stdmod leans on moderation analysis, regression and statistics, mritc focuses on medical imaging, r package and maintainer change.

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

4. topocast · velocity 2.5

New R package downscaling coarse climate rasters onto fine terrain, now five times cheaper per call.

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

Where stdmod leans on moderation analysis, regression and statistics, topocast focuses on geospatial, climate data and downscaling.

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

5. modelbpp · velocity 2.5

A structural-equation model comparison package whose feed carries links, not release notes.

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

Where stdmod leans on moderation analysis, regression and statistics, modelbpp focuses on structural equation modeling, statistics and r package.

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

6. mcptools · velocity 2.5

R became a deployable MCP server, not just a local one.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “mcptools runs as a Posit Connect R API engine”.

Where stdmod leans on moderation analysis, regression and statistics, mcptools focuses on mcp, llm tooling and r package.

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

7. hubEvals · velocity 2.5

Forecast-hub scoring that learned to handle joint, sample-based predictions.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “Sample output types and multivariate compound scoring”.

Where stdmod leans on moderation analysis, regression and statistics, hubEvals focuses on forecast evaluation, scoring and epidemiology.

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

8. reporter · velocity 2.5

A clinical-report generator steadily trading automatic layout for user control.

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

Where stdmod leans on moderation analysis, regression and statistics, reporter focuses on clinical reporting, document generation and sas migration.

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

9. libr · velocity 2.5

The SAS datastep clone for R just got roughly nineteen times faster.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “datastep() runs 83K rows in 21.6 seconds instead of 6.7 minutes”.

Where stdmod leans on moderation analysis, regression and statistics, libr focuses on sas migration, data processing and performance.

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

10. logr · velocity 2.5

A SAS-style logging package for R, shipping small and slowly by design.

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

Where stdmod leans on moderation analysis, regression and statistics, logr focuses on logging, r package and sas migration.

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

11. tidycmprsk · velocity 0.0

Competing-risks modelling that now moves only when its neighbours do.

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

Where stdmod leans on moderation analysis, regression and statistics, tidycmprsk focuses on competing risks, survival analysis and tidyverse.

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

12. SeuratObject · velocity 0.0

The data structure under Seurat, quietly absorbing spatial transcriptomics.

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

Where stdmod leans on moderation analysis, regression and statistics, SeuratObject focuses on single cell, spatial transcriptomics and data structures.

SeuratObject and stdmod 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 stdmod?

The top stdmod alternatives we currently track in analytics tools are tulpaObs, tulpa, mritc, topocast, modelbpp, ranked by recent ship velocity.

How is this list of stdmod alternatives ranked?

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

Can I compare stdmod directly with one of these alternatives?

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