knitr::opts_chunk$set(echo = TRUE)
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.
We aim to demonstrate the use of two general decomposition methods available in the R
packageDemoDecomp
.
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).
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