Package: dacc 0.0-4

Yan Li

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>.

Authors:Yan Li [aut, cre], Kun Chen [aut], Jun Yan [aut]

dacc_0.0-4.tar.gz
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dacc.pdf |dacc.html✨
dacc/json (API)

# Installdacc in R:
install.packages('dacc',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/liyanstat/dacc/issues

Datasets:
  • globalDat - Sample Dataset Used in Numerical Studies of "Detection and Attribution Analysis of Temperature Changes with Estimating Equations".
  • 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".

3 exports 1 stars 0.61 score 33 dependencies 185 downloads

Last updated 8 days agofrom:d8258e434a

Exports:CovestfingerprintfpPrep

Dependencies:CFtimeclicpp11dplyrfansigenericsgluehmsIsojanitorlatticelifecyclelubridatemagrittrMASSncdf4pillarpkgconfigpracmapurrrR6rlangsnakecasespstringistringrtibbletidyrtidyselecttimechangeutf8vctrswithr