There are 10 repositories under multivariate-statistics topic.
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
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
应用多元统计分析(高慧璇版)自学材料
The MetaRbolomics book. A review of R packages in BioC, CRAN, gitlab and github.
(Multiblock) Partial Least Squares Regression for Python
Markov random fields with covariates
MoMA: Modern Multivariate Analysis in R
manage ordinations and render biplots in a tidyverse workflow
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.
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
R package for multivariate statistic protocols for integrating archaeometric data (geochemical, mineralogical, petrographic)
Repository implementing MLJ interface for MultivariateStats models.
Project repository of the Matters Arising commentary "Multivariate BWAS can be replicable with moderate sample sizes in some cases""
Maestria-Computo-Estadistico CIMAT 2018-2019
Course materials for "Biostatistics: Case Studies"
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
The MultiHazard R package provides tools for stationary multivariate statistical modeling such as of the joint distribution of MULTIple co-occurring HAZARDs.
This repository contains R code that explains graphically how a few different multivariate statistical techniques work. Topics covered are distance measures, principal component analysis, permutational analysis of variance, and partial least squares regression.
Mathematics for Machine Learning - Coursera Course by Imperial College of London
Multidimensional scaling method for F-informed hypothesis testing
Spatial statistical prediction of solar-induced chlorophyll fluorescence (SIF) from multivariate OCO-2 data
Multivariate data analysis using geometric algorithms made easy!
US University admissions data has been analysed using multivariate techniques
This repository contains learning materials and assignments for the subject MAST90138 Multivariate Statistics for Data Science.
Cal Poly Spring 2024 STAT 419 Applied Multivariate Statistics
电子科技大学 2020 级《多元统计分析》课程代码。