summariseDetectProbs: Summarise Detection Probabilities

In BiomarkABS/DABOM: Dam Adult Branch Occupancy Model

Summarise Detection Probabilities

Description

Extracts the MCMC posteriors of detection probabilities for a DABOM model, and summarizes the results.

Usage

summariseDetectProbs(dabom_mod = NULL, filter_ch = NULL, .cred_int_prob = 0.95)

Arguments

dabom_mod	An MCMC.list containing some parameters that end with "_p"
filter_ch	filtered capture history as returned by the 'filterDetections()' function in the 'PITcleanr' package, which has then been verified by a user and all blank or NA 'user_keep_obs' entries have been completed.
.cred_int_prob	A numeric scalar in the interval (0,1) giving what highest posterior density portion of the posterior the credible interval should cover. The default value is 95%.

Value

a dataframe with number of tags detected, mean, median, mode, se, cv and credible intervals of detection probability posteriors.

Author(s)

Kevin See

Examples

## Not run: summariseDetectProbs()

BiomarkABS/DABOM documentation built on June 2, 2025, 3:18 a.m.