# summary.lyl_ci

##### Summarize Life Years Lost with confidence intervals

`summary`

for objects of class `lyl_ci`

summarizes Life Years Lost
at one specific age or over a range of different ages, including bootstrapped
confidence intervals

##### Usage

```
# S3 method for lyl_ci
summary(object, decimals = 2, level = 0.95,
weights = NA, difference = FALSE, ...)
```

##### Arguments

- object
An object of class

`lyl_ci`

(obtained with function`lyl_ci`

).- decimals
Number of decimals to be reported (default is 2).

- level
Confidence level (default is 0.95 for 95% confidence intervals)

- weights
Vector with age distribution of disease/condition onset to be used when Life Years Lost are estimated over a range of ages (with

`lyl_range`

function). If weights are not provided (dafault is`weights = NA`

), then the differences in Life Years Lost at each age is provided. If weights are provided, then a weighted average is provided.- difference
Parameter automatically created by the package.

- ...
Additional arguments affecting the summary produced.

##### Value

A table with the summary of the results.

##### See Also

`lyl`

for estimation of Life Years Lost at one specific age.`lyl_range`

for estimation of Life Years Lost for a range of different ages.`lyl_ci`

to estimate bootstrapped confidence intervals.

##### Examples

```
# NOT RUN {
# Load simulated data as example
data(simu_data)
# Estimate remaining life expectancy and Life Years
# Lost after age 45 years and before age 95 years
lyl_estimation <- lyl(data = simu_data, t = age_death, status = death,
age_specific = 45, tau = 95)
# Calculate bootstrapped confidence interval (3 iterations to test)
lyl_estimation_ci <- lyl_ci(lyl_estimation, niter = 3)
summary(lyl_estimation_ci)
# }
# NOT RUN {
# Estimate remaining life expectancy and Life Years
# Lost after each age from 0 to 94 years and before age 95 years
lyl_estimation2 <- lyl_range(data = simu_data, t = age_death, status = death,
age_begin = 0, age_end = 94, tau = 95)
# Calculate bootstrapped confidence interval
lyl_estimation_ci2 <- lyl_ci(lyl_estimation2)
summary(lyl_estimation_ci2, weights = simu_data$age_disease)
# }
```

*Documentation reproduced from package lillies, version 0.2.4, License: MIT + file LICENSE*