USGS-R/GcClust: Clustering geochemical data with HMC sampling

GcClust is a software package for statistical clustering of regional geochemical data, and similar data such as regional mineralogical data. The clustering procedure partitions the field samples for a data set into two clusters. Each cluster is partitioned again to create two sub-clusters, and so on, generating a hierarchy of clusters. The clustering method is based on a Bayesian finite mixture model. The model parameters are estimated with Hamiltonian Monte Carlo sampling of the posterior probability density function. This software is in the public domain because it contains materials that originally came from the United States Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at http://www.usgs.gov/visual-id/credit_usgs.html#copyright

Getting started

Package details

Maintainer
LicenseCC0
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("USGS-R/GcClust")
USGS-R/GcClust documentation built on Sept. 28, 2018, 11:08 a.m.