INFRA · APIS
The recursive-computation engine under massProps grows the accessors its consumer needed
Alternatives · developer tools
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 1h ago
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.
INFRA · APIS
A mass-properties rollup spends a year on documentation and follows its sibling's API
INFRA · APIS
Six months of releases and not one of them touched the scoring models
INFRA · APIS
A cognitive-science sampling package ships once, then goes quiet for eighteen months
INFRA · APIS
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
INFRA · APIS
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
INFRA · APIS
Spatial thinning grows a result object, and the API breaks to make room for it
INFRA · APIS
A dormant plant-breeding package returns as a genomic selection index suite
INFRA · APIS
CRAN download analytics maintained one micro-change at a time, hundreds per year
INFRA · APIS
INSEE's statistics API gets a French R client that keeps meeting its edge cases
INFRA · APIS
A bulk file reader became a labelled-survey-data toolkit, then went quiet
INFRA · APIS
Network diffusion analysis returns from a seven-year gap able to track several behaviours at once
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.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| plssem (baseline) | 0.0 | 0 | structural-equation-modelingpartial-least-squaresmultilevel-models | MC-PLSc and MC-OrdPLSc extend to multilevel and mixed-effects models |
| rollupTree | 0.0 | 0 | recursive-computationtree-structuresdag | — |
| massProps | 0.0 | 0 | systems-engineeringmass-propertiesuncertainty-propagation | — |
| writeAlizer | 0.0 | 0 | writing-assessmentnlp-featuresmodel-artifacts | — |
| samplr | 0.0 | 0 | cognitive-sciencesampling-algorithmsmcmc | — |
| stochvol | 0.0 | 0 | bayesian-inferencestochastic-volatilitymcmc | — |
| midr | 0.0 | 0 | explainable-aisurrogate-modelsshapley | Matrix responses bring multi-class and survival models in scope |
| GeoThinneR | 0.0 | 0 | spatial-thinningspecies-distributionoccurrence-data | GeoThinned result objects and a reorganised method surface |
| selection.index | 0.0 | 0 | plant-breedingselection-indexgenomic-selection | Genomic, marker and multi-stage selection indices on an Rcpp core |
| packageRank | 0.0 | 0 | crandownload-analyticslog-filtering | — |
| melodi | 0.0 | 0 | official-statisticsapi-clientinsee | — |
| bulkreadr | 0.0 | 0 | data-importsurvey-datalabelled-data | SPSS import converting labelled variables to factors |
| netdiffuseR | 0.0 | 0 | network-analysisdiffusioncontagion | Multi-adoption: splitting several behaviours out of one network |
The 12 best plssem alternatives, in depth
1. rollupTree · velocity 0.0
The recursive-computation engine under massProps grows the accessors its consumer needed.
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, rollupTree focuses on recursive computation, tree structures and dag.
rollupTree and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rollupTree trajectory → · Compare plssem vs rollupTree →
2. massProps · velocity 0.0
A mass-properties rollup spends a year on documentation and follows its sibling's API.
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, massProps focuses on systems engineering, mass properties and uncertainty propagation.
massProps and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. writeAlizer · velocity 0.0
Six months of releases and not one of them touched the scoring models.
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, writeAlizer focuses on writing assessment, nlp features and model artifacts.
writeAlizer and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full writeAlizer trajectory → · Compare plssem vs writeAlizer →
4. samplr · velocity 0.0
A cognitive-science sampling package ships once, then goes quiet for eighteen months.
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, samplr focuses on cognitive science, sampling algorithms and mcmc.
samplr and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. stochvol · velocity 0.0
A Bayesian volatility sampler in its maintenance decade, paying for its own speed.
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, stochvol focuses on bayesian inference, stochastic volatility and mcmc.
stochvol and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. midr · velocity 0.0
A black-box interpreter reaches CRAN, then learns multi-class and survival responses.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Matrix responses bring multi-class and survival models in scope”.
Where plssem leans on structural equation modeling, partial least squares and multilevel models, midr focuses on explainable ai, surrogate models and shapley.
midr and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. GeoThinneR · velocity 0.0
Spatial thinning grows a result object, and the API breaks to make room for it.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “GeoThinned result objects and a reorganised method surface”.
Where plssem leans on structural equation modeling, partial least squares and multilevel models, GeoThinneR focuses on spatial thinning, species distribution and occurrence data.
GeoThinneR and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full GeoThinneR trajectory → · Compare plssem vs GeoThinneR →
8. selection.index · velocity 0.0
A dormant plant-breeding package returns as a genomic selection index suite.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Genomic, marker and multi-stage selection indices on an Rcpp core”.
Where plssem leans on structural equation modeling, partial least squares and multilevel models, selection.index focuses on plant breeding, selection index and genomic selection.
selection.index and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full selection.index trajectory → · Compare plssem vs selection.index →
9. packageRank · velocity 0.0
CRAN download analytics maintained one micro-change at a time, hundreds per year.
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, packageRank focuses on cran, download analytics and log filtering.
packageRank and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full packageRank trajectory → · Compare plssem vs packageRank →
10. melodi · velocity 0.0
INSEE's statistics API gets a French R client that keeps meeting its edge cases.
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, melodi focuses on official statistics, api client and insee.
melodi and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. bulkreadr · velocity 0.0
A bulk file reader became a labelled-survey-data toolkit, then went quiet.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “SPSS import converting labelled variables to factors”.
Where plssem leans on structural equation modeling, partial least squares and multilevel models, bulkreadr focuses on data import, survey data and labelled data.
bulkreadr and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. netdiffuseR · velocity 0.0
Network diffusion analysis returns from a seven-year gap able to track several behaviours at once.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Multi-adoption: splitting several behaviours out of one network”.
Where plssem leans on structural equation modeling, partial least squares and multilevel models, netdiffuseR focuses on network analysis, diffusion and contagion.
netdiffuseR and plssem have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full netdiffuseR trajectory → · Compare plssem vs netdiffuseR →
Frequently asked questions
What are the best alternatives to plssem?
The top plssem alternatives we currently track in developer tools are rollupTree, massProps, writeAlizer, samplr, stochvol, 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.