multivariate-statistics

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Development repository for the Bioconductor package 'mixOmics '

Explorative multivariate statistics in Python

Python library to implement advanced trading strategies using machine learning and perform backtesting.

The MetaRbolomics book. A review of R packages in BioC, CRAN, gitlab and github.

Markov random fields with covariates

应用多元统计分析（高慧璇版）自学材料

(Multiblock) Partial Least Squares Regression for Python

MoMA: Modern Multivariate Analysis in R

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

manage ordinations and render biplots in a tidyverse workflow

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)

Biomedical Feature Selection for Machine Learning Models

Repository implementing MLJ interface for MultivariateStats models.

R package for multivariate statistic protocols for integrating archaeometric data (geochemical, mineralogical, petrographic)

Course materials for "Biostatistics: Case Studies"

Extendible metric MDS in Python

Mathematics for Machine Learning - Coursera Course by Imperial College of London

Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."

Correspondence Analysis with python