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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: | 0.0-4 |
Depends: | R (≥ 3.5.0) |
Imports: | MASS, stats, utils, Iso, pracma, janitor, magrittr, sp, CFtime, ncdf4 |
Published: | 2024-06-27 |
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 |
Reference manual: | dacc.pdf |
Package source: | dacc_0.0-4.tar.gz |
Windows binaries: | r-devel: dacc_0.0-4.zip, r-release: dacc_0.0-4.zip, r-oldrel: dacc_0.0-4.zip |
macOS binaries: | r-release (arm64): dacc_0.0-4.tgz, r-oldrel (arm64): dacc_0.0-4.tgz, r-release (x86_64): dacc_0.0-4.tgz, r-oldrel (x86_64): dacc_0.0-4.tgz |
Old sources: | dacc archive |
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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.
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