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