Man pages for antarctic-humpback-2019-assessment/HumpbackSIR
Use Sample-Importance-Resampling to Estimate Southern Humpback Abundance

bayes_factorBayes factor
CALC.ANALYTIC.QCompute analytic estimates of q, the scaling parameter...
CALC.LNLIKEFunction to calculate the log-likelihood using a lognormal...
compare_posteriorsFunction to compare posters
COMPUTING.ROIComputes the predicted rate of increase for a set of...
dlnorm_zerbAdjusted lognormal likelihood from Zerbini et al. 2011 (eq....
GENERALIZED_LOGISTICGENERALISED LOGISTIC MODEL
HUMPBACK.SIRHUMPBACK SIR controls the sampling from the priors, the...
LNLIKE.BEACHEDCalculate the log-likelihood of the beach whale data
LNLIKE.GRCalculate the log-likelihood of the growth rate
LNLIKE.IAsCompute the log-likelihood of indices of abundance
LNLIKE.NsLOG LIKELIHOOD OF ABSOLUTE ABUNDANCE
LOGISTIC.BISECTION.KLOGISTIC BISECTION
make_multiplier_listMake a list of priors for the catch multiplier to be passed...
make_priorGenerate a prior for use in the Humpback SIR
make_prior_listMake a list of priors to be passed to the SIR function.
plot_densityOUTPUT FUNCTION
plot_ioaOUTPUT FUNCTION
plot_trajectoryOUTPUT FUNCTION
PRED.GROWTH.RATEPREDICTED GROWTH RATE
PREDICT.IAsPredict indices of abundance
rbestProbability density for correction factor as determined by...
rlunifThe log-uniform distribution
sir_controlSet parameters for SIR
summary_sirOUTPUT FUNCTION
TARGET.KCalculate a target K for the bisection method
weight_modelWeighted SIR model
zerbini_tableFunction to write tables of logistic model parameter and...
antarctic-humpback-2019-assessment/HumpbackSIR documentation built on Nov. 6, 2023, 6:07 p.m.