Toolkit for Data Processing, Quality, and Statistical Models // Offers tools for data formatting, anomaly detection, and classification of tree-ring data using spatial comparisons and cross-correlation. Supports flexible detrending and climategrowth modeling via generalized additive mixed models (Wood 2017, ISBN:978-1498728331) and the 'mgcv' package (https://CRAN.R-project.org/package=mgcv), enabling robust analysis of non-linear trends and autocorrelated data. Provides standardized visual reporting, including summaries, diagnostics, and model performance. Compatible with '.rwl' files and tailored for the Canadian Forest Service Tree-Ring Data (CFS-TRenD) repository (Girardin et al. (2021) doi:10.1139/er-2020-0099), offering a comprehensive and adaptable framework for dendrochronologists working with large and complex datasets.