Statistical Methods for Phenology Analysis in Temperate Fruit Trees

Documentation for package ‘chillR’ version 0.55

chillR-package	Statistical methods for phenology analysis in temperate fruit trees
bloom_prediction	Bloom prediction from chilling and forcing requirements, assumed to be fulfilled strictly in sequence
chilling	Calculation of chilling and heat from hourly temperature records
chilling_hourtable	Add chilling and heat accumulation to table of hourly temperatures
chillR	Statistical methods for phenology analysis in temperate fruit trees
color_bar_maker	Make color scheme for bar plots in outputs of the chillR package
daily_chill	Calculation of daily chill and heat accumulation
interpolate_gaps	Linear gap interpolation
KA_bloom	Cherry bloom data for Klein-Altendorf, Germany
KA_weather	Weather data for Klein-Altendorf, Germany
make_all_day_table	Fill in missing days in incomplete time series
make_daily_chill_figures	Produce image of daily chill and heat accumulation
make_hourly_temps	Make hourly temperature record from daily data
make_pheno_trend_plot	Make image showing phenology response to temperatures during two phases
plot_PLS	Output of Partial Least Squares analysis results of phenology vs. daily mean temperatures
PLS_chill_force	Partial Least Squares analysis of phenology vs. accumulated daily chill and heat
PLS_pheno	Partial Least Squares analysis of phenology vs. daily mean temperatures
stack_hourly_temps	Stacking of hourly temperatures
VIP	Calculate VIP scores for PLS regression