dormancyR aims to provide alternatives to common chill models used in
horticulture to compute chill metrics in deciduous fruit tree orchards
as well as functions to handle weather data. The package is inspired in
the chillR package (Luedeling 2020) and produces compatible outputs.
dormancyR also contains functions to download and handle historic
(Center for Climate and Resilience Research) and
up-to-date (Agrometeorologia - INIA)
weather data from Chilean databases. Similarly, the package contains a
function to download and handle weather data from a German database
(Climate Data Center).
dormancyR was developed for a scientific manuscript published in the
European Journal of Agronomy: The importance of chill model selection -
a multi-site analysis
Since the package is not on CRAN (for the moment), the developer version
of dormancyR can be directly installed from github using functions in
the devtools library (Wickham, Hester, and Chang 2020)
devtools::install_github("https://github.com/EduardoFernandezC/dormancyR")
library(dormancyR)Luedeling, Eike. 2020. ChillR: Statistical Methods for Phenology Analysis in Temperate Fruit Trees. https://CRAN.R-project.org/package=chillR.
Wickham, Hadley, Jim Hester, and Winston Chang. 2020. Devtools: Tools to Make Developing R Packages Easier. https://CRAN.R-project.org/package=devtools.