yll - Why should I use it?

The purpose of the package yll is to easily compute the standard expected years of life lost (YLL), as developed by the Global Burden of Disease Study (Murray, C.J., Lopez, A.D. and World Health Organization, 1996). The YLL is based on comparing the age of death to an external standard life expectancy curve. The goal of the package yll is also to easily compute the average YLL, which highlights premature causes of death and brings attention to preventable deaths (Aragon et al., 2008).


You can install the released version of yll from CRAN with:


and load the package with:


Examples - How do I use it?

To compute the YLL or the average YLL, you need at least:

Other arguments (i.e., discount.rate, beta, modulation and adjustment) have default values and are thus not obligatory. However, you can still always modify them by specifying the argument and the desired value. See also the help documentation of the package by calling ?yll or ?avg_yll in R.

Below examples of both functions included in the package.

The years of life lost - yll()

For instance, imagine there are 100 deaths with an average age of death of 60 years and an expected remaining number of years to live of 20 years, the yll() function included in the yll package would look like this:

res <- yll(100, 60, 20)
#> [1] 1503.961

The standard expected years of life lost in our case is thus 1503.96 years. This includes a discounting rate of 0.03 (default rate). To perform the same computation without discounting rate, you specify discount.rate = 0 in the argument of the yll() function:

res <- yll(100, 60, 20, discount.rate = 0)
#> [1] 2000

The standard expected years of life lost without discounting is now 2000 years.

The average years of life lost - avg_yll()

It is also possible to compute the average years of life lost, thanks to the function avg_yll() included in the yll package. Compared to the standard YLL, the average YLL highlights premature causes of death and brings attention to preventable deaths. Mathematically, it is found by dividing the standard YLL by the number of deaths. It can, however, be easily computed via the function avg_yll():

res <- avg_yll(100, 60, 20)
#> [1] 15.03961

Again, this includes a discount rate of 0.03. To remove the discount rate, set it to 0:

res <- avg_yll(100, 60, 20, discount.rate = 0)
#> [1] 20


Aragon, T. J., Lichtensztajn, D. Y., Katcher, B. S., Reiter, R., & Katz, M. H. (2008). Calculating expected years of life lost for assessing local ethnic disparities in causes of premature death. BMC public health, 8(1), 116.

Murray, C. J., Lopez, A. D., & World Health Organization. (1996). The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020: summary.