All functions

TL()

Transmission loss

compare_models()

Benchmark results

compile_rjMCMC()

Dose-response curves

configure_rjMCMC()

Initial configuration

create_groups()

Create groupings

create_report()

Generate report

espresso

Bayesian inference for multi-species behavioural dose-response functions

example_brs

Example dataset

gibbs()

Posterior inference for dose-response models

hexa2hex()

Mimick transparent colours

houser_dose

Dose-response curve for California sea lions and bottlenose dolphins

jacobson_dose

Dose-response curve for Blainville's beaked whales from the Pacific Missile Range Facility (PMRF)

likelihood()

The Truncated Normal Distribution

moretti_dose

Dose-response curve for Blainville's beaked whales

normal_prior()

Normal prior on covariates

plot(<dose_response>)

Dose-response curves

plot(<gvs>)

Diagnostic plots

plot(<rjtrace>)

Diagnostic plots

plot_phase()

Compare dose-response functions

print(<dose_response>)

Print method for objects of class dose_response

print(<gvs>)

Print method for objects of class gvs

print(<rjtrace>)

Print method for objects of class rjtrace

prob_covariates()

Posterior inclusion probabilities for contextual covariates

propdens_ff()

Proposal densities for functional form jumps.

propdens_mh()

Proposal densities for between-model jumps

propdens_rj()

Proposal densities for between-model jumps

proposal_ff()

Proposal for jumps between functional forms

proposal_rj()

Proposal for between-model jumps

proposal_t.ij()

Proposal for within-model jumps

propose_jump()

Proposal for between-model jumps

range_finder()

Range finder

read_data()

Import dose-response data

run_rjMCMC()

Reversible jump MCMC

setup_rjMCMC()

Set up the rjMCMC sampler

simulate_data()

Generate a simulated dataset

species_brs

Cetacean species

summary(<brsdata>)

Summarise dose-response data

summary(<gvs>)

Some diagnostics for fitted dose-response models

summary(<rjtrace>)

Some diagnostics for fitted dose-response models

trace_rjMCMC()

Extract trace

undo_groups()

Dissolve groupings

uniform_prior()

Uniform prior

update_rjMCMC()

Update sampler