Machine learning-based summaries of association with multivariate outcomes
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Updated
Sep 15, 2017 - R
Machine learning-based summaries of association with multivariate outcomes
R/cvma: Cross-validation-based maximal associations
Multivariate Time Series Analysis using Financial data in R
Sign Language Digit Classification
NBA Shot Logs Analysis
Measures of agreement for bootstrapped and reciprocal NMDS
Statistical Multivariate Analysis: machine learning tools for high dimensional data
Multivariate Environmental Statistics (BEE6300) R Code
Cross-validation-based maximal associations
Multivariate Analysis, Bayesian Analysis and Data Mining
USAT uses a data-adaptive weighted score-based test statistic for testing association of multiple continuous phenotypes with a single genetic marker.
MoMA: Modern Multivariate Analysis in R
This is a Multivariate Analysis Project in R. Here in I've taken Life Expectancy dataset which covers the data of 193 countries. On it I have applied techniques such as cleaning, EDA, Principal Component Analysis, Factor Analysis, Cluster Analysis and Regression.
This repo contains implementations of various Machine Learning Algorithm with R Programming Language.
R/Bioconductor package - STRUCT report
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
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