Diego Rondon, Samu Mantyniemi, Jouni Aspi, Laura Kvist, Mikko J Sillanpaa Code and data for the simulation and analysis ## 1_Simualiton Contain the function (1_Simulation_Functions.R) and simulation algorithm (2_Simulation.R) that creates the populations. The results of the population are un the files SCN_Bottleneck.RData and SCN_Decline.RData ## 2_NIMBLE_Model Contain the algorithm that reads the data set of interest, sample a population at a given observation probability (40%, 60% or 80%), perform the data augmentation and performs the MCMC Each MCMC takes 20 hours to run. ## 3_MCMC_Results MCMC output is divided into scenarios -> covariate treatment -> sampling probability, each one with 50 MCMC output containing 3 chains each

2024