StMoMoData: Create StMoMoData object from demogdata object
In StMoMo: Stochastic Mortality Modelling

Description Usage Arguments Value Examples

Create StMoMoData object suitable for fitting a Stochastic Mortality Model using function fit.StMoMo.

1 2	StMoMoData(data, series = names(data$rate)[1], type = c("central", "initial"))

`data`	demogdata object of type "mortality". It is either the output from functions `read.demogdata` or `hmd.mx` of package `demography`.
`series`	name of series within `data` to use.
`type`	the type of exposure that should be included in the output. The alternatives are `"central"` (default) and `"initial"`. `"central"` exposures are suitable for fitting models under a log-Poisson framework while `"initial"` exposures are suitable under a logit-Binomial framework.

A list with class "StMoMoData" with components:

`Dxt`	matrix of deaths data.
`Ext`	matrix of observed exposures.
`ages`	vector of ages corresponding to rows of `Dxt` and `Ext`.
`years`	vector of years corresponding to rows of `Dxt` and `Ext`.
`type`	the type of exposure in the data.
`series`	name of the extracted series.
`label`	label of the data.

## Not run: 
library(demography)
NZdata <- hmd.mx(country = "NZL_NP", username = username, password = password, 
label = "New Zealand")
NZStMoMo <- StMoMoData(NZdata, series = "male")
summary(NZStMoMo)

## End(Not run)