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Package changes from previous qlifetable version 0.0.2-4

The way grobs are defined in the method plot for objects of class SAI has been modified to accomodate some changes made in new versions of ggplot2 (>=3.5.0).

A bug in the function annual2quaterly has been fixed when its input annual life table is defined using death rates (mx).

Package changes from previous qlifetable version 0.0.1-15

The previous version (0.0.1-15) of qlifetable just computes from microdata the summary statistics to build quarterly life tables. This new version includes two new sets of functions. On the one hand, qlifetable now incorporates a bunch of functions to construct from summary statistics Seasonal-ageing indexes (SAIs) and quarterly life tables and, on the other hand, the new version also has new functions to estimate SAIs approximations as detailed in Pavía and Lledó (2023) doi:10.1017/asb.2023.16.

The list of new functions includes:

crude_mx. This function computes quarterly crude rates of mortality given (i) a set of quarterly datasets of time of expositions at risk and (ii) a dataset of quarterly deaths.

crude_mx_sh2. This function computes, by applying equation (2.7) in Pavía and Lledó (2023), quarterly crude rates of mortality given (i) a couple of integer-age stock of population datasets and (ii) a dataset of quarterly deaths.

crude_mx_sh3. This function computes, by applying equation (2.9) in Pavía and Lledó (2023), quarterly crude rates of mortality given (i) a couple of integer-age stock of population datasets, (ii) a dataset of quarterly deaths, (iii) a dataset of quarterly entries and (iv) a dataset of quarterly exits.

plot.SAI. This function is a method for plotting objects of the class SAI attained using either the function compute_SAI or SAI_shortcut_1.

SAI_shortcut_1. This function estimates a set of SAIs by applying equation (2.5) in Pavía and Lledó (2023) given a set of datasets of quarterly deaths.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.