Learn R Programming

dacc (version 0.0-6)

Detection and Attribution Analysis of Climate Change

Description

Conduct detection and attribution of climate change using methods including optimal fingerprinting via generalized total least squares or estimating equation approach from Ma et al. (2023) . Provide shrinkage estimators for covariance matrix from Ledoit and Wolf (2004) , and Ledoit and Wolf (2017) .

Copy Link

Version

Install

install.packages('dacc')

Monthly Downloads

506

Version

0.0-6

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Yan Li

Last Published

January 24th, 2025

Functions in dacc (0.0-6)

globalDat

Sample Dataset Used in Numerical Studies of "Detection and Attribution Analysis of Temperature Changes with Estimating Equations".
fpPrep

Process netCDF4 Gridded Data into Format of the fingerprint() Function
simDat

Sample Dataset in Simulation Studies of "Regularized Fingerprinting in Detection and Attribution of Climate Change with Weight Matrix Optimizing the Efficiency in Scaling Factor Estimation".
fingerprint

Optimal Fingerprinting via total least square regression.
Covest

Regularized estimators for covariance matrix.