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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