Package: dacc
Title: Detection and Attribution Analysis of Climate Change
Version: 0.1.0
Date: 2026-11-08
Authors@R: c(
    person(given = "Haoran", family = "Li", role = "aut"),
    person(given = "Yan", family = "Li",
           email = "yan.4.li@uconn.edu",
           role = c("aut", "cre")),
    person(given = "Kun", family = "Chen", role = "aut"),
    person(given = "Jun", family = "Yan", role = "aut"))
Description: 
    Detection and attribution analysis of climate change using errors-in-variables
    regression. Implements the polynomial shrinkage framework under variance
    heterogeneity proposed by Li and Li (2026)
    <doi:10.48550/arXiv.2608.12496> and the latent factor framework proposed
    by Li and Li (2026) <doi:10.48550/arXiv.2609.13488>. Estimates forcing
    scaling factors and variance inflation coefficients for
    forced simulations and control runs relative to observations. Selects
    polynomial covariance weights or bias-corrected spiked precision weights by
    minimizing estimated total asymptotic scaling factor variance, and provides
    asymptotic confidence intervals and residual diagnostics. Also retains
    earlier total least squares and estimating equation procedures
    (Li et al., 2025, <doi:10.1175/JCLI-D-24-0193.1>;
    Ma et al., 2023, <doi:10.1175/JCLI-D-22-0681.1>) for comparison and
    reproducibility, together with covariance shrinkage estimators.
Depends: R (>= 3.5.0)
Imports: MASS, stats, graphics, utils, Iso, pracma, janitor, magrittr,
        sp, CFtime, ncdf4
Suggests: RMTstat
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/LiYanStat/dacc
BugReports: https://github.com/LiYanStat/dacc/issues
Repository: CRAN
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-11-08 23:53:09 UTC; yzl0317
Author: Haoran Li [aut],
  Yan Li [aut, cre],
  Kun Chen [aut],
  Jun Yan [aut]
Maintainer: Yan Li <yan.4.li@uconn.edu>
Date/Publication: 2026-11-09 00:10:19 UTC
