This R package offers a natural feeling, domain-specific language to build and estimate structural equation models in R. It uses variance-based PLS estimation to model both composite and common-factor constructs. It offers high-level functions to quickly specify interactions and complicated structural models, high performance multi-core bootstrapping, and predictive validation of PLS models. SEMinR has 18,000+ downloads, three learning books (including an open-access PLS-SEM workbook), and a YouTube lecture series, and teachers and researchers around the world use it in classrooms and publications.

This R package offers interactive gadgets and plotting functions to visualize data and statistical concepts in two and three dimensions. Explore a data frame as a rotatable 3D point cloud, or rotate the fitted surface of a moderated regression. Simulations demonstrate sampling distributions, confidence intervals, t-tests, and matrix inversion for teaching and self-study. Each gadget prints the call that reproduces its final view, so an exploration can go straight into a script or report.