Learn R Programming

HPbayes (version 0.1)

Heligman Pollard mortality model parameter estimation using Bayesian Melding with Incremental Mixture Importance Sampling

Description

This package provides all the functions necessary to estimate the 8 parameters of the Heligman Pollard mortality model using a Bayesian Melding procedure with IMIS as well as to convert those parameters into age-specifc probabilities of death and a corresponding life table

Copy Link

Version

Install

install.packages('HPbayes')

Monthly Downloads

16

Version

0.1

License

Unlimited

Maintainer

Dave Sharrow

Last Published

October 29th, 2012

Functions in HPbayes (0.1)

hpbayes.plot

Bayesian Melding posterior 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
HPprior

prior, age groups, lx and dx values
expt.upts

Expected number of unique inputs after the final IMIS re-sample
dens.prior

Density of the prior
postpri.plot

Posterior/Prior Heligman-Pollard parameter distribution plot
hp.bm.imis

Heligman-Pollard parameter estimator using Bayesian Melding with Incremental Mixture Importance Sampling
HPbayes-package

Heligman Pollard mortality model parameter estimation using Bayesian Melding with Incremental Mixture Importance Sampling
entropy.wts

Entropy of the rescaled weights relative to uniformity
prior.likewts

Prior likelihoods and weights
loop.optim

Optimizer step for estimating the Heligman-Pollard Parameters using the Bayesian Melding with IMIS-opt procedure
hp.nqx

Heligman-Pollard parameter conversion to age-specifc probabilites of death
final.resamp

Final re-sampling step in Bayesian Melding using IMIS
samp.postopt

Multivariate Gaussian Sampling for Heligman-Pollard model estimated via Bayesian Melding
mp8.ll

Binomial likelihood for a set of Heligman-Pollard Parameters
var.rwts

Variance of the rescaled weights when estimating the Heligman-Pollard parameters using Bayesian Melding with IMIS
mod8p

Heligman-Pollard parameter coversion to age-specific probabilites of death
ll.binom

Binomial likelihood
like.resamp

Local Optimums and Covariance from the optimizer step
hp.lifetab

Heligman-Pollard life table conversion