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.
The MetaRbolomics book. A review of R packages in BioC, CRAN, gitlab and github.
(Multiblock) Partial Least Squares Regression for Python
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.
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.
Python toolkit for analysis of industrial process data; multivariate analysis, designed experiments, process monitoring.
Robust transfer function analysis code for magnetotellurics
Trimmed L-moments and L-comoments for robust statistics.
Maestria-Computo-Estadistico CIMAT 2018-2019
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)
Source repository for the open-access, free book Process Improvement using Data.
Repository implementing MLJ interface for MultivariateStats models.
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