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dacc: Detection and Attribution Analysis of Climate Change

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) <doi:10.1175/JCLI-D-22-0681.1>. Provide shrinkage estimators for covariance matrix from Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2017) <doi:10.2139/ssrn.2383361>.

Version: 0.0-5
Depends: R (≥ 3.5.0)
Imports: MASS, stats, utils, Iso, pracma, janitor, magrittr, sp, CFtime, ncdf4
Published: 2024-09-20
DOI: 10.32614/CRAN.package.dacc
Author: Yan Li [aut, cre], Kun Chen [aut], Jun Yan [aut]
Maintainer: Yan Li <yan.4.li at uconn.edu>
BugReports: https://github.com/LiYanStat/dacc/issues
License: GPL (≥ 3)
URL: https://github.com/LiYanStat/dacc
NeedsCompilation: no
CRAN checks: dacc results

Documentation:

Reference manual: dacc.pdf

Downloads:

Package source: dacc_0.0-5.tar.gz
Windows binaries: r-devel: dacc_0.0-5.zip, r-release: dacc_0.0-5.zip, r-oldrel: dacc_0.0-5.zip
macOS binaries: r-release (arm64): dacc_0.0-5.tgz, r-oldrel (arm64): dacc_0.0-5.tgz, r-release (x86_64): dacc_0.0-5.tgz, r-oldrel (x86_64): dacc_0.0-5.tgz
Old sources: dacc archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.