HPbayes-package         Heligman Pollard mortality model parameter
                        estimation using Bayesian Melding with
                        Incremental Mixture Importance Sampling
age                     prior, age groups, lx and dx values
dens.prior              Density of the prior
entropy.wts             Entropy of the rescaled weights relative to
                        uniformity
expt.upts               Expected number of unique inputs after the
                        final IMIS re-sample
final.resamp            Final re-sampling step in Bayesian Melding
                        using IMIS
hp.bm.imis              Heligman-Pollard parameter estimator using
                        Bayesian Melding with Incremental Mixture
                        Importance Sampling
hp.lifetab              Heligman-Pollard life table conversion
hp.nqx                  Heligman-Pollard parameter conversion to
                        age-specifc probabilites of death
hpbayes.plot            Bayesian Melding posterior Heligman-Pollard
                        parameter distribution plot
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
mod8p                   Heligman-Pollard parameter coversion to
                        age-specific probabilites of death
mp8.ll                  Binomial likelihood for a set of
                        Heligman-Pollard Parameters
postpri.plot            Posterior/Prior Heligman-Pollard parameter
                        distribution plot
pri.mle                 Heligman-Pollard parameter prior formation for
                        use with Bayesian Melding using IMIS
prior.form              Heligman-Pollard parameter prior formation
prior.likewts           Prior likelihoods and weights
samp.postopt            Multivariate Gaussian Sampling for
                        Heligman-Pollard model estimated via Bayesian
                        Melding
var.rwts                Variance of the rescaled weights when
                        estimating the Heligman-Pollard parameters
                        using Bayesian Melding with IMIS
