Software & Tools

Open-source R packages for structural equation modeling and business analytics.

SEMinR

CRAN Co-Creator

A Domain-Specific Language for Building and Estimating Structural Equation Models in R. SEMinR provides an intuitive, natural syntax that lets researchers express PLS and CBSEM models using familiar terminology.

70,000+ downloads Version 2.3.3

model.R

library(seminr)

# Define measurement model
measurements <- constructs(
  composite("Satisfaction",
    multi_items("sat", 1:3)),
  composite("Loyalty",
    multi_items("loy", 1:4)),
  composite("Quality",
    multi_items("qual", 1:5))
)

# Define structural model
structure <- relationships(
  paths("Quality",
    to = "Satisfaction"),
  paths("Satisfaction",
    to = "Loyalty")
)

# Estimate and bootstrap
model <- estimate_pls(
  data        = survey_data,
  measurement = measurements,
  structure   = structure
)

boot <- bootstrap_model(model,
  nboot = 1000)

summary(boot)

Key Features

Natural Syntax
Express models using familiar SEM constructs like composites, paths, and relationships
PLS & CBSEM Estimation
Full PLS path modeling with bootstrapping, plus CBSEM support
Predictive Assessment
Out-of-sample prediction with cross-validation and PLSpredict
Model Visualization
Generate path diagrams and result plots directly from estimated models

CRAN GitHub

seminrExtras

CRAN Creator

Extensions and extra features for SEMinR, including additional model assessment tools, visualization functions, and advanced reporting capabilities for PLS-SEM analysis.

CRAN GitHub

Congruence Test

Web App Runs on your computer No upload

An interactive tool for the bootstrapped congruence-coefficient test (Franke, Sarstedt & Danks, 2021, Journal of Business Research). Paste your item data and your SEMinR model to test whether pairs of constructs are empirically distinguishable in their nomological networks — no R and no install. HTMT is computed for you.

Nothing you paste is ever transmitted anywhere. The model is estimated and bootstrapped inside your browser, on your own machine — no upload, no server, no account, no logging. Disconnect from the internet and it still works. It runs the open-source TypeScript ports of SEMinR and seminrExtras, and reproduces the R implementation exactly — down to the random number generator, so a given seed resamples the same rows R would.

Launch App seminrExtras