| ssExpPars {bootComb} | R Documentation |
Compute the sum of squares between the theoretical and observed quantiles of an exponential distribution.
Description
This is a helper function that compute the sum of squares between two theoretical and observed quantiles of an exponential distribution (typically the lower and upper bounds of a confidence interval). This function is for internal use to find the best-fit exponential distribution for a given confidence interval.
Usage
ssExpPars(ratePar, qLow, qUpp, alpha = 0.05)
Arguments
ratePar |
The rate parameter of the theoretical exponential distribution. |
qLow |
The observed lower quantile. |
qUpp |
The observed upper quantile. |
alpha |
The confidence level; i.e. the desired coverage is 1-alpha. Defaults to 0.05. |
Value
A single number, the sum of squares.
See Also
[Package bootComb version 1.1.2 Index]