Correspondence Analysis in R and Python
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Updated
Jun 15, 2024 - R
Correspondence Analysis in R and Python
mVARbox is a Matlab toolbox for uni/multivariate data series analysis in both time/space and frequency domains, with focus on mutivariate autoregressive (VAR) models
Cal Poly Spring 2024 STAT 419 Applied Multivariate Statistics
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Synthesize, analyze, and visualize biological oceanography data
Trimmed L-moments and L-comoments for robust statistics.
电子科技大学 2020 级《多元统计分析》课程代码。
Data-driven dynamic digital twins for industrial automation."Grey-box" unit model identification. Light-weight dynamic simulation. Library built on .NET
The MultiHazard R package provides tools for stationary multivariate statistical modeling such as of the joint distribution of MULTIple co-occurring HAZARDs.
Multivariate data analysis using geometric algorithms made easy!
R-based project that utilizes multivariate analysis of Spotify Metrics; specifically multiple multivariate regression and MANOVA.
Markov random fields with covariates
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
manage ordinations and render biplots in a tidyverse workflow
This project was carried out in partial fulfillment of the TUM course Machine Learning for Graphs and Sequential Data (IN2323)
Multidimensional scaling method for F-informed hypothesis testing
Simulations for an article about extreme quantile region estimation
MultivariaTeach is designed to help students of multivariate statistics understand and perform a selection of fundamental tests.
Explore multivariate statistics through hands-on university projects. Each project delves into real-world datasets, applying statistical techniques like ANOVA, two-factor analysis, and binary logistic regression. Understand data analysis, interpretation, and modeling with R.
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