Package index • crywolf

Data

Assemble automated and verified detections and site covariates.

Fit the model and inspect, summarize, predict, and compare fits.

fp_occu(): Fit a Bayesian false-positive occupancy model
fp_priors(): Prior settings for fp_occu()
print(<fp_occu>) summary(<fp_occu>) print(<summary.fp_occu>) coef(<fp_occu>) predict(<fp_occu>) loo(<fp_occu>) as_draws_df(<fp_occu>): Methods for fp_occu fits
fp_ppc(): Posterior predictive check for a false-positive occupancy model
fp_compile(): Compile (or load) the Stan model
fp_stan_file(): Path to the Stan program

Simulate false-positive regimes and check interval calibration for a design.

simulate_fp(): Simulate data for a false-positive occupancy model
fp_calibrate(): Simulation-based calibration check for a study design
fp_verification_curve(): Coverage as a function of verification effort
fp_calibrate_fit(): Calibration of a fitted model on data like the real ones
simulate(<fp_occu>): Simulate data from a fitted model
plot(<fp_calibration>): Plot the results of a calibration check

Passive acoustic monitoring of the Common Pauraque in the Pantanal.

curiango: Passive acoustic monitoring of the Common Pauraque in the Pantanal

crywolf crywolf-package: crywolf: Bayesian false-positive occupancy models with calibration checks
reexports loo as_draws_df: Objects exported from other packages