StMoMo (version 0.4.1)

coef.fitStMoMo: Extract coefficients from a fitted Stochastic Mortality Model

Description

Extract coefficients from a fitted Stochastic Mortality Model

Usage

# S3 method for fitStMoMo
coef(object, ...)

Arguments

object

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

...

other arguments.

Value

A list of model parameters with components:

ax

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.

bx

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.

kt

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.

b0x

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.

gc

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.

Examples

# NOT RUN {
APCfit <- fit(apc(), data = EWMaleData)
coef(APCfit) 
# }