# Growth rate estimate using the sum of internal lengths

Source:`R/growthRateMethods.R`

`internalLengths.Rd`

`internalLengths()`

provides an estimate for the net growth rate of the clone with confidence bounds, using the internal lengths method.

## Arguments

- tree
An ultrametric tree subset to include only the clone of interest. Alternatively, a list with several such trees.

- alpha
Used for calculation of confidence intervals. 1-alpha confidence intervals used with default of alpha = 0.05 (95 percent confidence intervals)

## Value

A dataframe including the net growth rate estimate, the sum of internal lengths and other important details (clone age estimate, runtime, n, etc.)

## See also

`maxLikelihood()`

, `sharedMuts()`

for other
growth rate methods.

## Examples

```
internalLengths(cloneRate::exampleUltraTrees[[1]])
#> lowerBound estimate upperBound cloneAgeEstimate sumInternalLengths
#> 1 0.8729623 1.085769 1.298576 20.83863 92.10061
#> sumExternalLengths extIntRatio n alpha runtime_s method
#> 1 1547.141 16.79838 100 0.05 0.004 lengths
```