In timriffe/DemoDecomp: Decompose Demographic Functions

knitr::opts_chunk$set(echo = TRUE)

Abstract

Background

Most demographic indices are functions of parameters, such as age-structured rates. There are many case-specific methods to decompose differences in indices to differences in parameters, but only a few general methods exist.

Objective

We aim to demonstrate the use of two general decomposition methods available in the R packageDemoDecomp.

Methods

Three methods are demonstrated: pseudo-continuous decomposition proposed by Horiuchi et. al. (2008) (horiuchi()), stepwise replacement decomposition (stepwise_replacement()) by Andreev et. al. (YYYY), and lifetable response experiment (ltre()) by Caswell (YYYY).

Results

Conclusions

Contribution

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timriffe/DemoDecomp documentation built on Nov. 4, 2023, 4:15 p.m.