identifyBetaPars: Determine the parameters of the best-fit beta distribution...

In bootComb: Combine Parameter Estimates via Parametric Bootstrap

Description

Finds the best-fit beta distribution parameters for a given confidence interval for a probability parameter and returns the shape1, shape2 parameters.

Usage

identifyBetaPars(
  qLow,
  qUpp,
  alpha = 0.05,
  initPars = c(50, 50),
  maxiter = 1000
)

Arguments

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.
initPars	A vector of length 2 giving the initial parameter values to start the optimisation; defaults to c(50,50).
maxiter	Maximum number of iterations for optim. Defaults to 1e3. Set to higher values if convergence problems are reported.

Value

A vector of length 2 giving the 2 parameters shape1 and shape1 for use with rbeta/dbeta/pbeta/qbeta.

See Also

ssBetaPars, optim, dbeta

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