DendroTools : R package for studying linear and nonlinear responses between tree-rings and daily environmental dataJevšenak, Jernej (Avtor) Levanič, Tom (Avtor) dendroclimatologydaily climate datarunning windownonlinear modellingtree-ring proxiesclimate reconstructionWe introduce in this paper the dendroTools R package for studying the statistical relationships between tree-ring parameters and daily environmental data. The core function of the package is daily_response(), which works by sliding a moving window through daily environmental data and calculating statistical metrics with one or more tree ring proxies. Possible metrics are correlation coefficient, coefficient of determination and adjusted coeffi- cient of determination. In addition to linear regression, it is possible to use a nonlinear artificial neural network with the Bayesian regularization training algorithm (brnn). dendroTools provides the opportunity to use daily climate data and robust nonlinear functions for the analysis of climate-growth relationships. Models should thus be better adapted to the real (continuous) growth of trees and should gain in predictive capabilities. The dendroTools R package is freely available in the CRAN repository. The functionality of the package is demonstrated on two examples, one using a mean vessel area (MVA) chronology and one a traditional tree-ring width (TRW).02018-04-16 15:10:25Delo ni kategorizirano8217UDK: 630*56:630*17:630*11ISSN pri članku: 1125-7865DOI: 10.1016/j.dendro.2018.01.005COBISS_ID: 4995238OceCobissID: 46910464sl