Simulation-Based Tools for Bioacoustic Study Design

Documentation for package ‘ValidationExplorer’ version 0.1.1

example_output	example_output
example_val_sum	example_val_sum: Example summaries of validated data
mask_by_spp	mask_by_spp: simulate a validation design
mask_FE_all_visits	Mask a proportion of all visits: A function for simulating a fixed effort validation design.
mcmc_sum	MCMC_sum: A custom function for summarizing MCMC posterior sampling
plot_bias_vs_calls	plot_bias_vs_calls: Compare validation designs based on estimation error and expected level of effort
plot_coverage_vs_calls	plot_coverage_vs_calls: Compare validation designs based on coverage of 95% posterior intervals and expected level of effort
plot_width_vs_calls	plot_width_vs_calls: Compare validation designs based on 95% posterior interval width and expected level of effort
run_sims	run_sims: conduct simulations easily
simulate_validatedData	Simulate many datasets under candidate validation designs
sim_dat	Simulate data from the count-detection model with counts per site-visit
summarize_n_validated	Summarize the number of validated recordings
tune_mcmc	Get suggested MCMC settings prior to starting your simulations
ValExp_example_fit	ValExp_example_fit
visualize_parameter_group	visualize_parameter_group
visualize_single_parameter	visualize_single_parameter