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All functions

Azores
Birds of Azores archipelago
Azores_alt_m
Birds of Azores archipelago with alternative mainland species pool size
bootstrap()
Runs a bootstrapping on a DAISIE model to determine parameter precision
bootstrap_lr()
Runs a parameteric bootstrapping likelihood ratio test on two DAISIE models
calc_bic()
Compute Bayesian Information Criterion of a model
calc_loglik_ratio()
Calculates the loglikelihood ratio between two models
calc_p_value()
Calculates p-value for rejecting a model from a distribution of likelihood ratios
calc_power()
Calculates power to detect the true model
calc_sim_metrics()
Calculates summary metrics from a simulation
check_rep_seeds()
Checks if jobs were run with the same seed
check_rep_seeds_depr()
Checks if jobs were run with the same seed on older logs
choose_best_model()
From multiple seeds, choose the best model fit
create_output_folder()
Create output folder
create_results_dir_path()
Create results directory path
is_on_cluster()
Check if code is running on Hábrók HPCC
plot_bootstrap_results()
Computes summary results of bootstrap simulations useful for plotting
plot_sim_metrics()
Plots metrics from simulations
print_metadata()
Print session and run info to console/log file
read_model_results()
Reads run_daisie_ml() results
run_daisie_2type_ml()
Run 2 type DAISIE analysis
run_daisie_ml()
Run DAISIE analysis
run_sim()
Runs a DAISIE simulation
sensitivity()
Read the results of run_daisie_ml() and compares model selection
setup_2type_model()
Set up DAISIE_ML arguments
setup_model()
Set up DAISIE_ML arguments
setup_std_pars2()
Fills pars2 vector for most common DAISIE ML CS runs
summarize_bootstrap_results()
Computes summary results of bootstrap simulations useful for plotting