getMinimalFitStMoMo: Extract a lighter version of a fitted Stochastic Mortality...
In StMoMo: Stochastic Mortality Modelling

Obtain a lighter version of a fitted Stochastic Mortality Model with the essential information for plotting, forecasting, and simulation.

1	getMinimalFitStMoMo(object)

object

an object of class "fitStMoMo" with the fitted parameters of a stochastic mortality model.

A list with class "fitStMoMo" with components

`model`	The `StMoMo` defining the fitted stochastic mortality model.
`ax`	Vector with the fitted values of the static age function α_x. If the model does not have a static age function or failed to fit this is set to `NULL`.
`bx`	Matrix with the values of the period age-modulating functions β_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`.
`kt`	Matrix with the values of the fitted period indexes κ_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`.
`b0x`	Vector with the values of the cohort age-modulating function β_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`.
`gc`	Vector with the fitted cohort index γ_{c}. If the model does not have a cohort effect or failed to fit this is set to `NULL`.
`Dxt`	Matrix of deaths used in the fitting.
`Ext`	Matrix of exposures used in the fitting.
`oxt`	Matrix of known offset values used in the fitting.
`wxt`	Matrix of 0-1 weights used in the fitting.
`ages`	Vector of ages in the data.
`years`	Vector of years in the data.
`cohorts`	Vector of cohorts in the data.