Bayesian Mortality Modelling with 'Stan'

Documentation for package ‘StanMoMo’ version 1.1.0

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
forecasting_plot	Fanplot for the mortality predictions
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.