SpatMCA

Description

SpatMCA provides regularized maximum covariance analysis with

• identifying smooth and localized couple patterns to understand how one spatial process is affected by another
• suitable for either regularly or irregularly spaced data
• by the alternating direction method of multipliers (ADMM) algorithm

Installation

To get the current released version from CRAN:

install.packages("SpatMCA")

To get the current development version from GitHub:

devtools::install_github("egpivo/SpatMCA")

Author

Wen-Ting Wang and Hsin-Cheng Huang

Maintainer

Wen-Ting Wang

License

GPL-2