Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
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May 1, 2026 - Jupyter Notebook
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
Python library to implement advanced trading strategies using machine learning and perform backtesting.
(Multiblock) Partial Least Squares Regression for Python
The MetaRbolomics book. A review of R packages in BioC, CRAN, gitlab and github.
manage ordinations and render biplots in a tidyverse workflow
Markov random fields with covariates
MoMA: Modern Multivariate Analysis in R
Library for dynamic time-series modeling, identification and simulation. Focus on dealing with non-ideal real world datasets, and applications to industrial processes and -pid-feedback loops. Robust and fast for advanced analytics. Built on .NET to run anywhere.
Python toolkit for analysis of industrial process data; multivariate analysis, designed experiments, process monitoring.
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.
Robust transfer function analysis code for magnetotellurics
Trimmed L-moments and L-comoments for robust statistics.
Source repository for the open-access, free book Process Improvement using Data.
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)
Maestria-Computo-Estadistico CIMAT 2018-2019
Repository implementing MLJ interface for MultivariateStats models.
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