MoMA: Modern Multivariate Analysis in R

Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)

Unsupervised Learning

TreeCorTreat

Tensor-based Multiple Canonical Correlation Analysis

Find models of interaction

❗ RGCCA — Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data

Cross-validation-based maximal associations

This project implements canonical correlation analysis between two data matrices. I first create the latent dimensions between the two data matrices. Then I use Kmeans and hierarchical clustering on principal component to group individuals using the latent dimensions and the distance created by the canonical analysis. Last step, I give a profili…

Repo for the article on "Modeling the Neurocognitive Dynamics of Language across the Lifespan"

Thresholded Ordered Sparse CCA

R/cvma: Cross-validation-based maximal associations

Multivariate data analysis using R Studio.