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plssem alternatives

The best plssem alternatives in developer tools, ranked by Sparkpulse's velocity_score.

Updated Aug 20, 2026

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

plssem took PLS-SEM into multilevel data, then spent two releases making the estimates trustworthy.

plssem is a young R implementation of partial least squares structural equation modelling, three CRAN releases old and shipping monthly. Its distinguishing work is the MC-PLS family — consistent PLS estimators the maintainer extended to mixed-effects designs in June — and the releases since have been about getting standard errors, admissibility and fit measures onto the same footing as the point estimates.

Velocity 0.0 · Last update 56m ago

Read the full plssem trajectory →

Top 12 alternatives to plssem

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

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plssem 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
plssem (baseline)0.00structural-equation-modelingpartial-least-squaresmultilevel-modelsMC-PLSc and MC-OrdPLSc extend to multilevel and mixed-effects models
glcdp6.31r-packageslight-loggingdata-standardsglc_explore() adds a Shiny browser and metadata joins
prova6.31r-packagesbayesian-inferencedecision-analysisexputility() brings decision analysis into prova
humind3.81humanitarian-analyticsneeds-assessmentr-package2026 MSNI rollout: HWISE-4 prerequisite, FCLCM, impactR4PHU dropped
artoo2.50r-packagesclinical-trialscdiscLossless any-to-any CDISC dataset conversion in pure R
tabular2.50r-packagesclinical-trialsdocument-renderingfigure() completes the T, F and L of TFL output
usmapdata2.50r-packagesgeospatialcensus-datadata_year turns the package into a multi-vintage archive
checkhelper2.50r-packagescran-compliancestatic-analysisA static audit_* family for CRAN pre-submission checks
rstudio.prefs2.50r-packagesrstudiodeveloper-tools
inlabru2.50bayesian-modellingspatial-statisticsr-packageDrops sp and ggmap for an sf-native spatial stack
ggpointless0.00ggplot2-extensionsdata-visualizationpictogram-charts
mpactr0.00metabolomicsmass-spectrometrypeak-filtering
surveytidy0.00survey-statisticstidyversedplyr-verbs

The 12 best plssem alternatives, in depth

1. glcdp · velocity 6.3

Glcdp reaches 1.0.0 with a stable schema contract behind its data explorer.

Over the last 30 days glcdp shipped 1 meaningful update vs plssem's 0, most recently “glc_explore() adds a Shiny browser and metadata joins”. Its velocity score of 6.3/10 blends that with longer-term release cadence.

Where plssem leans on structural equation modeling, partial least squares and multilevel models, glcdp focuses on r packages, light logging and data standards.

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

2. prova · velocity 6.3

Prova adds expected-utility calculation on top of its Bayesian inference core.

Over the last 30 days prova shipped 1 meaningful update vs plssem's 0, most recently “exputility() brings decision analysis into prova”. Its velocity score of 6.3/10 blends that with longer-term release cadence.

Where plssem leans on structural equation modeling, partial least squares and multilevel models, prova focuses on r packages, bayesian inference and decision analysis.

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

3. humind · velocity 3.8

The MSNI humanitarian needs framework as code, rewritten and re-broken every year.

Over the last 30 days humind shipped 1 meaningful update vs plssem's 0, most recently “2026 MSNI rollout: HWISE-4 prerequisite, FCLCM, impactR4PHU dropped”. Its velocity score of 3.8/10 blends that with longer-term release cadence.

Where plssem leans on structural equation modeling, partial least squares and multilevel models, humind focuses on humanitarian analytics, needs assessment and r package.

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

4. artoo · velocity 2.5

Artoo makes any-to-any clinical dataset conversion lossless by construction.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “Lossless any-to-any CDISC dataset conversion in pure R”.

Where plssem leans on structural equation modeling, partial least squares and multilevel models, artoo focuses on r packages, clinical trials and cdisc.

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

5. tabular · velocity 2.5

Tabular went from clinical tables to complete TFL output in under two months.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “figure() completes the T, F and L of TFL output”.

Where plssem leans on structural equation modeling, partial least squares and multilevel models, tabular focuses on r packages, clinical trials and document rendering.

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

6. usmapdata · velocity 2.5

Usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “data_year turns the package into a multi-vintage archive”.

Where plssem leans on structural equation modeling, partial least squares and multilevel models, usmapdata focuses on r packages, geospatial and census data.

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

7. checkhelper · velocity 2.5

Checkhelper grew from a check wrapper into a CRAN pre-submission auditor.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A static audit_* family for CRAN pre-submission checks”.

Where plssem leans on structural equation modeling, partial least squares and multilevel models, checkhelper focuses on r packages, cran compliance and static analysis.

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

8. rstudio.prefs · velocity 2.5

Four years dormant, rstudio.prefs returns under a new maintainer.

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

Where plssem leans on structural equation modeling, partial least squares and multilevel models, rstudio.prefs focuses on r packages, rstudio and developer tools.

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

9. inlabru · velocity 2.5

A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “Drops sp and ggmap for an sf-native spatial stack”.

Where plssem leans on structural equation modeling, partial least squares and multilevel models, inlabru focuses on bayesian modelling, spatial statistics and r package.

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

10. ggpointless · velocity 0.0

Ggpointless keeps adding the ggplot2 layers nobody else bothered to write.

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

Where plssem leans on structural equation modeling, partial least squares and multilevel models, ggpointless focuses on ggplot2 extensions, data visualization and pictogram charts.

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

11. mpactr · velocity 0.0

Mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.

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

Where plssem leans on structural equation modeling, partial least squares and multilevel models, mpactr focuses on metabolomics, mass spectrometry and peak filtering.

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

12. surveytidy · velocity 0.0

Surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.

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

Where plssem leans on structural equation modeling, partial least squares and multilevel models, surveytidy focuses on survey statistics, tidyverse and dplyr verbs.

surveytidy and plssem 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 plssem?

The top plssem alternatives we currently track in developer tools are glcdp, prova, humind, artoo, tabular, ranked by recent ship velocity.

How is this list of plssem alternatives ranked?

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

Can I compare plssem directly with one of these alternatives?

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