check_optional_deps

internal

Offers tools for data formatting, anomaly detection, and classification
of tree-ring data using spatial comparisons and cross-correlation.
Supports flexible detrending and climate–growth 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.

Xiao Jing Guo

growthTrendR

Toolkit for Data Processing, Quality, and Statistical Models

Martin Girardin

Juha Metsaranta

David Gervais

Elizabeth Campbell

check_optional_deps function

Check optional dependencies — check_optional_deps

Check optional dependencies

check_optional_deps: Check optional dependencies

Description

Usage

Arguments