Climate Window Analysis
Plot distribution of model weights
Plot the start and end time of best climate windows
Determine the probability that a given climate signal is 'true'.
Climate window analysis for randomised data
Fit a single climate window
Test for a climate windows in data.
Find a weighted climate window
Test for auto-correlation in climate.
Test the correlation between two climate variables.
Visualise the weight distribution for given parameter values
Determine the median start and end time for climate windows
Merge two slidingwin analyses.
Calculate within group deviance.
Calculate within group means.
Create a histogram of randomised deltaAICc values
Visualise climate window data
Visualise the best climate window
Plot model beta estimates
Visualise climate cross correlation or autocorrelation.
Plot deltaAICc of models
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a given biological response. Please see van de Pol et al. (2016) <doi:10.1111/2041-210X.12590> and Bailey and van de Pol (2016) <doi:10.1371/journal.pone.0167980> for details.