Time series data and ARMA analyses

This compressed directory contains the data, models and scripts used for the ARMA model fits of the time series data for Timema cristiane (raw data = Tcris_master_26.csv, note the 2017 data are added to this in the R script), Geospiza fortis (fortis.csv), Geospiza scandens (scandens.csv), Panaxia dominula (data_medionigra.csv), and Biston betuleria (mothdat.csv). Except for the Timema data, these data were obtained from published studies (as described and documented in the paper), but are also included here for completeness. The main R script for fitting the ARMA models is 'predictingEvoAnalyses.R'. It relies on functions defined in 'predictingEvoFuncs.R', which are sourced at the beginning of the 'predictingEvoAnalyses.R' script. The individual JAGS models for the different ARMA models are defined in the 'dp-arma*model' text files, where * denotes the AR and MA lags.