reduceOpen

data formatted per the requirements of <code>bh1()</code>, <code>bh2()</code>

maxA

logical. If <code>TRUE</code> we sum down to <code>min(maxA,95)</code>. If <code>FALSE</code>, we just chop off data above that age.

group

These methods are not intended to be applied to ages greater than, say 90 or 95. Usually, we&#39;d top out in the range 75 to 85. In any case, the Coale-Demeny life table implementation that we have only goes up to age 95, so there is a practical limitation to deriving a remaining life expectancy for the open age group. If a user tries to apply the Bennett-Horiuchi methods to data with higher open ages, stuff breaks for the time being. So this function chops the data off at <code>min(maxA,95)</code>, after having (optionally) grouped data down. This function needs to work with a single partition of data (intercensal period, sex, region, etc).

A set of three two-census methods to the estimate the degree of death registration coverage for a population. Implemented methods include the Generalized Growth Balance method (GGB), the Synthetic Extinct Generation method (SEG), and a hybrid of the two, GGB-SEG. Each method offers automatic estimation, but users may also specify exact parameters or use a graphical interface to guess parameters in the traditional way if desired.

reduceOpen: chop down or group down the open age

Description

Usage

Arguments

Value