| bayes_factor | Bayes factor |
| CALC.ANALYTIC.Q | Compute analytic estimates of q, the scaling parameter... |
| CALC.LNLIKE | Function to calculate the log-likelihood using a lognormal... |
| compare_posteriors | Function to compare posters |
| COMPUTING.ROI | Computes the predicted rate of increase for a set of... |
| dlnorm_zerb | Adjusted lognormal likelihood from Zerbini et al. 2011 (eq.... |
| GENERALIZED_LOGISTIC | GENERALISED LOGISTIC MODEL |
| HUMPBACK.SIR | HUMPBACK SIR controls the sampling from the priors, the... |
| LNLIKE.BEACHED | Calculate the log-likelihood of the beach whale data |
| LNLIKE.GR | Calculate the log-likelihood of the growth rate |
| LNLIKE.IAs | Compute the log-likelihood of indices of abundance |
| LNLIKE.Ns | LOG LIKELIHOOD OF ABSOLUTE ABUNDANCE |
| LOGISTIC.BISECTION.K | LOGISTIC BISECTION |
| make_multiplier_list | Make a list of priors for the catch multiplier to be passed... |
| make_prior | Generate a prior for use in the Humpback SIR |
| make_prior_list | Make a list of priors to be passed to the SIR function. |
| plot_density | OUTPUT FUNCTION |
| plot_ioa | OUTPUT FUNCTION |
| plot_trajectory | OUTPUT FUNCTION |
| PRED.GROWTH.RATE | PREDICTED GROWTH RATE |
| PREDICT.IAs | Predict indices of abundance |
| rbest | Probability density for correction factor as determined by... |
| rlunif | The log-uniform distribution |
| sir_control | Set parameters for SIR |
| summary_sir | OUTPUT FUNCTION |
| TARGET.K | Calculate a target K for the bisection method |
| weight_model | Weighted SIR model |
| zerbini_table | Function to write tables of logistic model parameter and... |
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