binLikSI: Binomial support interval calculation

In supportInt: Calculates Likelihood Support Intervals for Common Data Types

Description

This function takes binomial data and using a root finding algorithm to calculate the support interval at the user's specified level. If conf=T, the function will attempt to estimate the confidence level of the support interval using a modified parametric bootstrap approach.

Usage

binLikSI(dat, n, level, tol = 0.001, conf = F, B = 500)

Arguments

dat	number of success in binomial experiment
n	number of trials in binomial experiment
level	desired support level
tol	tolerance passed to uniroot for finding SI endpoints
conf	Logical, whether or not bootstrap should be performed to estimate confidence level
B	Number of bootstraps to be performed

Value

si	The desired support interval
conf.equiv	The estimated confidence level of the SI

Author(s)

Derek Smith

Examples

set.seed(10)
binLikSI(dat=4, n=10, level=9)
binLikSI(dat=4, n=10, level=8, conf=TRUE)

supportInt documentation built on May 2, 2019, 6:32 a.m.