R: Bayesian Mortality Modelling with 'Stan'

# Bayesian Mortality Modelling with 'Stan'

## Documentation for package ‘StanMoMo’ version 1.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

StanMoMo-package | The 'StanMoMo' package.
apc_stan | Bayesian Age-Period-Cohort model with 'Stan'
boxplot_post_dist | Boxplot for the posterior distribution
cbd_stan | Bayesian Cairns-Blake-Dowd (CBD) model with Stan
compute_weights_BMA | Compute the model evidence/marginal likelihood via bridge sampling (or via the harmonic mean estimator if bridge sampling fails)
extract_map | Function to get the a posterior means of the parameters based on a stanfit object
fit_mo_mo | Wrapper function to fit and forecast mortality models
FRMaleData | Deaths and Exposures Data of French Males
lc_stan | Bayesian Lee-Carter with Stan
m6_stan | Bayesian M6 model with Stan
mortality_weights | Model averaging/weighting via future-out stacking or pseudo-BMA weighting
rh_stan | Bayesian Renshaw-Haberman model with Stan
sim_death_apc | Simulation of death counts from the Age-Period-Cohort mortality model
sim_death_cbd | Simulation of death counts from the CBD model
sim_death_lc | Simulation of death counts from the Lee-Carter mortality model
sim_death_m6 | Simulation of death counts from the M6 model
sim_death_mix_cbd_rh | Simulation of death counts from a hybrid model that averages the mortality rates from the cbd and rh models
sim_death_rh | Simulation of death counts from the Renshaw-Haberman mortality model
sim_mortality_data | Simulation of mortality data from various models
StanMoMo | The 'StanMoMo' package.