README.md

In rudazhang/gpc: Gaussian Process Covariance / PCA / SVD Prediction via Separable Transformation

An R package for Gaussian process covariance prediction via separable transformation

This is a prototypical implementation of GPΣ in the R programming language. For the original research article documenting the method, see the Citation section.

Installation

Option 1: Install the developing verion via devtools.

if (!("devtools" %in% installed.packages()[,"Package"])) {
    install.packages(devtools)
}
devtools::install_github("rudazhang/gpc")

Option 2: Install from a bundled package.

First download a bundled package from releases, then

## Run a line similar to the following.
install.packages("~/Downloads/gpc_0.0.0.9000.tar.gz", type="source")

Example Use

After installing the package, you can load it via:

library(gpc)

Example scripts are included in script/ under the installed directory. Find it via:

path <- system.file("script", package = "gpc")
dir(path, full.names=TRUE)

Citation

rudazhang/gpc documentation built on Dec. 22, 2021, 8:12 p.m.