ssNormPars {bootComb} | R Documentation |
This is a helper function that compute the sum of squares between two theoretical and observed quantiles of a normal distribution (typically the lower and upper bounds of a confidence interval). This function is for internal use to find the best-fit normal distribution for a given confidence interval.
ssNormPars(muSigPars, qLow, qUpp, alpha = 0.05)
muSigPars |
The mean and standard deviation parameters of the theoretical normal 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. |
A single number, the sum of squares.
identifyNormPars
, optim
, qnorm