toeclim: Time of Emergence of Climate Signals from Internal Variability

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>.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	graphics, grDevices, stats
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-10-10
DOI:	10.32614/CRAN.package.toeclim
Author:	Abul Kashem Faruki Fahim [aut, cre, cph]
Maintainer:	Abul Kashem Faruki Fahim <farukifahim at du.ac.bd>
License:	MIT + file LICENSE
NeedsCompilation:	no
Citation:	toeclim citation info
Materials:	README, NEWS
CRAN checks:	toeclim results

Documentation:

Reference manual:	toeclim.html , toeclim.pdf
Vignettes:	Getting started with toeclim (source, R code)

Downloads:

Package source:	toeclim_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: toeclim_0.1.0.zip
macOS binaries:	r-release (arm64): toeclim_0.1.0.tgz, r-oldrel (arm64): toeclim_0.1.0.tgz, r-release (x86_64): toeclim_0.1.0.tgz, r-oldrel (x86_64): toeclim_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=toeclim to link to this page.