scworland-usgs/timepls: Partial least squares (pls) regression on time series data.

Contains functions for calculating partial least squares regression for time series. This method is useful when it is not clear what lags will generate the strongest correlation between several time series. Furthermore, this package also allows a user to input different window widths for calculating fit metrics. The output plots are similar to wavelet time-frequency plots, but here we present time-window width plots.

Getting started

Package details

AuthorScott Worland
MaintainerThe package maintainer <[email protected]>
LicenseCC0
Version0.0.1
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("scworland-usgs/timepls")
scworland-usgs/timepls documentation built on June 20, 2017, 11:13 a.m.