Statistical methods for phenology analysis in temperate fruit trees


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Documentation for package ‘chillR’ version 0.54

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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_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
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