Usage examples for the micompr R package
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Updated
Jun 22, 2017 - R
Usage examples for the micompr R package
A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.
This repository includes custom scripts for data analysis for the paper: The latent structure of emerging cognitive abilities: an infant twin study. Bussu G., Taylor M., Tammimies K., Ronald A., Falck-Ytter T. Focusing on the investigation of the etiological structure underlying emerging cognitive and motor abilities early in infancy.
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
Families of multiple regression models
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
An R package for Subset Multivariate Optimal Partitioning (SMOP), a multivariate changepoint detection algorithm.
Data and code to reproduce analyses from "Bayesian multivariate meta-regression : a tutorial"
Create Multivariate Autoregressive State-Space Models with the MARSS R package
Multivariate density estimation and clustering. (R package)
R code to reproduce analyses in "Rapid winter warming could disrupt coastal marine fish community structure" (Clark et al, Nature Climate Change, 2020)
R package for displaying multivariate data through a quasi-Chernoff visualization
R package implementing the multivariate (multi-univariate) extension of the benchmarks used for the M
R package implementing the Extended Dynamic Factor Machine Learner multivariate forecasting method
Multivariate quantile function from discrete approximation of continuous probability distribution function
Supervised Component Generalised Linear Regression for mixed models
Analyses from Orians et al. 2019 https://doi.org/10.1093/aob/mcz004
Repository that contains a set of functions for bnlearn package discrete models: multi-variable prediction and evaluation metrics
Multivariate independent comparison of observations.
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