Produces an 8 panel plot of both the prior and posterior distribution for the eight parameters of the Heligman-Pollard model
● Data Source:
CranContrib
● Keywords: misc
● Alias: postpri.plot
●
2 images
|
Forms a prior distribution (drawn from a uniform distribution) for each of the eight Heligman-Pollard parameters. First, using optim(), mle estimates of the parameters are fitted to the deaths and persons at risk supplied by the user. Once these estimates (returned as mle) and their standard errors (se) are obtained, 8000 (See documentation for prior.form) draws from a uniform distribution with bounds mle[i] +/- senum*se are taken to form a prior distribution for each parameter.
● Data Source:
CranContrib
● Keywords: misc
● Alias: pri.mle
●
0 images
|
|
Calculates the log-likelihood and importance weight for each set (i.e. each row) of Heligman-Pollard parameters in the prior
● Data Source:
CranContrib
● Keywords: misc
● Alias: prior.likewts
●
0 images
|
|
Performs the optimizer step in the IMIS procedure for the eight Heligman-Pollard parameters
● Data Source:
CranContrib
● Keywords: misc
● Alias: loop.optim
●
0 images
|
|
Performs the final re-sampling step in the Bayesian Melding with IMIS procedure for the eight Heligman-Pollard parameters.
● Data Source:
CranContrib
● Keywords: misc
● Alias: final.resamp
●
0 images
|
samp.postopt
(Package: HPbayes) :
Multivariate Gaussian Sampling for Heligman-Pollard model estimated via Bayesian Melding
Samples the eight Heligman-Pollard parameters from the mvnorm distribution for each run of optimizer step where the likelihood for that run exceeds the maximum likelihood from the prior
● Data Source:
CranContrib
● Keywords: misc
● Alias: samp.postopt
●
0 images
|
This function converts the posterior Heligman-Pollard parameter distribution resulting from a Bayesian Melding procedure to probabilities of death over a specified age range. In addition, this function also calculates and plots a CI over the specified age range. The user can also elect to plot the data (ndeath/nrisk) from which the model was estimated.
● Data Source:
CranContrib
● Keywords: misc
● Alias: hpbayes.plot
●
2 images
|
|
Converts a set of Heligman-Pollard mortality model parameters into age-specific probabilities of death
● Data Source:
CranContrib
● Keywords: misc
● Alias: hp.nqx
●
0 images
|
|
Calculates a log likelihood from a binomial distribution
● Data Source:
CranContrib
● Keywords: misc
● Alias: ll.binom
●
0 images
|
|
Calculates the log-likelihood based on a binomial distribution of observing a set of age-specific probabilities of death resulting from a set of eight parameters of the Heligman-Pollard Model given a certain number of age-specific death counts and persons at risk
● Data Source:
CranContrib
● Keywords: misc
● Alias: mp8.ll
●
0 images
|
providing 
.