Usage examples for the micompr R package
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Updated
Jun 22, 2017 - R
Usage examples for the micompr R package
Families of multiple regression models
R package for displaying multivariate data through a quasi-Chernoff visualization
Multivariate quantile function from discrete approximation of continuous probability distribution function
Supervised Component Generalised Linear Regression for mixed models
A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.
Repository that contains a set of functions for bnlearn package discrete models: multi-variable prediction and evaluation metrics
R code to reproduce analyses in "Rapid winter warming could disrupt coastal marine fish community structure" (Clark et al, Nature Climate Change, 2020)
An R package for Subset Multivariate Optimal Partitioning (SMOP), a multivariate changepoint detection algorithm.
Multivariate analysis of data and geographic display of results
Multivariate density estimation and clustering. (R package)
Functions for Wishart distributions, including sampling from the inverse Wishart and sampling from the Cholesky factorization of a Wishart.
R package implementing Multivariate Error Measures for time series forecasting
R package implementing the Extended Dynamic Factor Machine Learner multivariate forecasting method
R package implementing the multivariate (multi-univariate) extension of the benchmarks used for the M
This is an Excel file that generates a multivariate plot with Numeric data. R code for the implementation is also provided. VBA script is available in Excel file
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.
R-based project to analyze lyrics entropy by genre and decade. A hand-engineered feature "words-per-unique-word" is introduced and deeply studied. Spotify and Genius APIs are used
This link shows the codes in the paper: Robust Two-Layer Partition Clustering of Sparse Multivariate Functional Data. Please read readme.file first.
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