# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "toeclim" in publications use:' type: software license: MIT title: 'toeclim: Time of Emergence of Climate Signals from Internal Variability' version: 0.1.0 abstract: 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) , Yue et al. (2002) and Sen (1968) . authors: - family-names: Fahim given-names: Abul Kashem Faruki email: farukifahim@du.ac.bd orcid: https://orcid.org/0000-0002-8554-4730 preferred-citation: type: manual title: 'toeclim: Time of Emergence of Climate Signals from Internal Variability' authors: - family-names: Fahim given-names: Abul Kashem Faruki orcid: https://orcid.org/0000-0002-8554-4730 email: farukifahim@du.ac.bd year: '2026' notes: R package version 0.1.0 repository: https://cran.r-universe.dev commit: e97e1f74c7a167abbb75c41eb468b5e7255d6b48 date-released: '2026-10-10' contact: - family-names: Fahim given-names: Abul Kashem Faruki email: farukifahim@du.ac.bd orcid: https://orcid.org/0000-0002-8554-4730