Man pages for HPbayes
Heligman Pollard mortality model parameter estimation using Bayesian Melding with Incremental Mixture Importance Sampling

dens.priorDensity of the prior
entropy.wtsEntropy of the rescaled weights relative to uniformity
expt.uptsExpected number of unique inputs after the final IMIS...
final.resampFinal re-sampling step in Bayesian Melding using IMIS
HPbayes-packageHeligman Pollard mortality model parameter estimation using...
hpbayes.plotBayesian Melding posterior Heligman-Pollard parameter...
hp.bm.imisHeligman-Pollard parameter estimator using Bayesian Melding...
hp.lifetabHeligman-Pollard life table conversion
hp.nqxHeligman-Pollard parameter conversion to age-specifc...
HPpriorprior, age groups, lx and dx values
like.resampLocal Optimums and Covariance from the optimizer step
ll.binomBinomial likelihood
loop.optimOptimizer step for estimating the Heligman-Pollard Parameters...
mod8pHeligman-Pollard parameter coversion to age-specific...
mp8.llBinomial likelihood for a set of Heligman-Pollard Parameters
postpri.plotPosterior/Prior Heligman-Pollard parameter distribution plot
pri.mleHeligman-Pollard parameter prior formation for use with...
prior.formHeligman-Pollard parameter prior formation
prior.likewtsPrior likelihoods and weights
samp.postoptMultivariate Gaussian Sampling for Heligman-Pollard model...
var.rwtsVariance of the rescaled weights when estimating the...
HPbayes documentation built on May 29, 2017, 6:46 p.m.