A meta-analysis package for R
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Updated
Jun 12, 2024 - R
A meta-analysis package for R
Bayesian network analysis in R
Hierarchical Climate Regionalization
Recursive Partitioning for Structural Equation Models
Analyses from Orians et al. 2019 https://doi.org/10.1093/aob/mcz004
Compute scagnostics on your scatterplots
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 independent comparison of observations.
msos: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
Source code for R package chebpol on CRAN
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 link shows the codes in the paper: Robust Two-Layer Partition Clustering of Sparse Multivariate Functional Data. Please read readme.file first.
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 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.
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
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
R package implementing Multivariate Error Measures for time series forecasting
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