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dacc  

Detection and Attribution Analysis of Climate Change
View on CRAN: Click here


Download and install dacc package within the R console
Install from CRAN:
install.packages("dacc")

Install from Github:
library("remotes")
install_github("cran/dacc")

Install by package version:
library("remotes")
install_version("dacc", "0.0-6")



Attach the package and use:
library("dacc")
Maintained by
Yan Li
[Scholar Profile | Author Map]
First Published: 2023-09-10
Latest Update: 2024-01-09
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) .
How to cite:
Yan Li (2023). dacc: Detection and Attribution Analysis of Climate Change. R package version 0.0-6, https://cran.r-project.org/web/packages/dacc. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0-1 (2023-09-10 10:00), 0.0-2 (2023-09-26 20:20), 0.0-3 (2024-01-09 09:20), 0.0-4 (2024-06-27 14:50), 0.0-5 (2024-09-20 20:40)
Other packages that cited dacc R package
View dacc citation profile
Other R packages that dacc depends, imports, suggests or enhances
Complete documentation for dacc
Functions, R codes and Examples using the dacc R package
Some associated functions: Covest . fingerprint . fingerprintCEE . simDat . 
Some associated R codes: Covest.R . data.R . fingerprint.R . fingerprintCEE.R . utils.R .  Full dacc package functions and examples
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