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