Package: toeclim
Type: Package
Title: Time of Emergence of Climate Signals from Internal Variability
Version: 0.1.0
Authors@R: 
    person("Abul Kashem Faruki", "Fahim", , "farukifahim@du.ac.bd",
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-8554-4730"))
Description: Detects when a forced climate change signal emerges from
    internal variability ('time of emergence') in annual climate time series
    such as temperature or precipitation. The signal is estimated with a
    linear, quadratic or locally weighted smoother and compared with noise
    estimated from a baseline period. Emergence is defined through
    configurable signal-to-noise thresholds and persistence rules.
    Uncertainty in the time of emergence is quantified by autoregressive
    or moving-block bootstrap resampling. Helpers are provided for
    multi-member ensembles, threshold sensitivity, anomaly and annual
    aggregation, Mann-Kendall trend tests with trend-free prewhitening,
    and synthetic data generation. The approach builds on Hawkins and
    Sutton (2012) <doi:10.1029/2011GL050087>, Yue et al. (2002)
    <doi:10.1002/hyp.1095> and Sen (1968)
    <doi:10.1080/01621459.1968.10480934>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: graphics, grDevices, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2026-09-30 09:32:57 UTC; root
Author: Abul Kashem Faruki Fahim [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-8554-4730>)
Maintainer: Abul Kashem Faruki Fahim <farukifahim@du.ac.bd>
Repository: CRAN
Date/Publication: 2026-10-10 10:50:02 UTC
Built: R 4.6.1; ; 2026-10-10 13:12:11 UTC; unix
