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MultichainACF

Auto Covariance/Correlation Function for multiple Markov chains

Install / Use

/learn @medhaaga/MultichainACF
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

multichainACF

Calculates the globally-centered autcorrelation function (ACF) plots following Agarwal and Vats (2020). Given a list of multiple Markov chains, this package offers functions for ACF and CCF plots that pool information from all chains yielding more accurate estimates of the correlation. The functions differs from the base acf and ccf by allowing the users to center the chains around the global mean from all Markov chains. A different mean argument can also be specified.

See webpage for a working example.

To install:

# install.packages("devtools")
library(devtools)
devtools::install_github("medhaaga/multichainACF")
View on GitHub
GitHub Stars6
CategoryDevelopment
Updated3y ago
Forks0

Languages

HTML

Security Score

55/100

Audited on Mar 15, 2023

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