Obtain a lighter version of a fitted Stochastic Mortality Model with the essential information for plotting, forecasting, and simulation.
getMinimalFitStMoMo(object)an object of class "fitStMoMo" with the fitted
parameters of a stochastic mortality model.
A list with class "fitStMoMo" with components
The StMoMo defining the fitted stochastic
mortality model.
Vector with the fitted values of the static age function
\(\alpha_x\). If the model does not have a static age function or
failed to fit this is set to NULL.
Matrix with the values of the period age-modulating functions
\(\beta_x^{(i)}, i=1, ..., N\). If the \(i\)-th age-modulating
function is non-parametric (e.g. as in the Lee-Carter model)
bx[, i] contains the estimated values. If the model does not have
any age-period terms (i.e. \(N=0\)) or failed to fit this is set to
NULL.
Matrix with the values of the fitted period indexes
\(\kappa_t^{(i)}, i=1, ..., N\). kt[i, ] contains the estimated
values of the \(i\)-th period index. If the model does not have any
age-period terms (i.e. \(N=0\)) or failed to fit this is set to
NULL.
Vector with the values of the cohort age-modulating function
\(\beta_x^{(0)}\). If the age-modulating function is non-parametric
b0x contains the estimated values. If the model does not have a
cohort effect or failed to fit this is set to NULL.
Vector with the fitted cohort index \(\gamma_{c}\). If the
model does not have a cohort effect or failed to fit this is set to
NULL.
Matrix of deaths used in the fitting.
Matrix of exposures used in the fitting.
Matrix of known offset values used in the fitting.
Matrix of 0-1 weights used in the fitting.
Vector of ages in the data.
Vector of years in the data.
Vector of cohorts in the data.