ssBetaPars: Compute the sum of squares between the theoretical and...

In bootComb: Combine Parameter Estimates via Parametric Bootstrap

Description

This is a helper function that compute the sum of squares between two theoretical and observed quantiles of a beta distribution (typically the lower and upper bounds of a confidence interval). This function is for internal use to find the best-fit beta distribution for a given confidence interval.

Usage

ssBetaPars(abPars, qLow, qUpp, alpha = 0.05)

Arguments

abPars	The shape1 and shape2 parameters of the theoretical beta 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

identifyBetaPars, optim, qbeta

bootComb documentation built on Jan. 31, 2022, 1:07 a.m.