Estimation of Biological Parameters from Stranded Cetaceans


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Documentation for package ‘strandCet’ version 1.0

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calc.ro Caclulate net reproduction number from a demographic projection matrix.
cetaceans Ages of stranded dolphins
coale Coale method.
cohort Cohort method
dens.prior Density of priors.
eigen.analysis Analysis of Eigen values
entropy.wts Entropy of the rescaled weights relative to uniformity.
Est.life.tab Estimated life table.
expt.upts Expected number of unique inputs after the final IMIS re-sample.
final.resamp Final re-sampling step in Bayesian Melding using IMIS.
gen.time Generation time
HP.CI Helligman-Pollard confidence intervals with 9 parameters
HP.mod Heligman-Pollard parameter estimator using Bayesian Melding with Incremental Mixture Importance Sampling.
hp.nqx Heligman-Pollard parameter conversion to age-specifc probabilites of death.
HP.pred Prediction of Heligman-Pollard model.
HP.pri.start Estimation of starting values for priors of the Heligman-Pollard model.
HP.priors Heligman-Pollard Parameter prior formation.
keyfitz Keyfitz and Flieger method.
Leslie.matrix Leslie matrix
Leslie.pred Project Leslie matrix
life.Leslie Life table for Leslie matrix projections.
life.tab Life table
like.resamp Local Optimums and Covariance from the optimizer step.
ll.binom Binomial likelihood.
loop.optim Optimizer step for estimating the Heligman-Pollard Parameters using the Bayesian Melding with IMIS-opt procedure.
mod Heligman-Pollard parameter coversion to age-specific probabilites of death.
mod.nat Heligman-Pollard parameter coversion to natural age-specific probabilites of death.
mod.risk Heligman-Pollard parameter coversion to age-specific probabilites of death due to an external risk.
prior.likewts Prior likelihoods and weights.
samp.postopt Multivariate Gaussian Sampling for Heligman-Pollard model estimated via Bayesian Melding.
Si.mod Siler model.
Si.pred Predict Siler model
var.rwts Variance of the rescaled weights when estimating the Heligman-Pollard parameters using Bayesian Melding with IMIS.