binom.conf.int: Confidence interval for the binomial parameter p

In HervePerdry/M1SP: Examples for the Master 1 de Santé Publique

Confidence interval for the binomial parameter p

Description

Confidence interval for the binomial parameter p

Usage

binom.conf.int(
  x,
  n,
  proc = c("wald", "arcsine", "wilson", "clopper-pearson"),
  conf.level = 0.95,
  correct = FALSE
)

Arguments

x	number of successes
n	number of Bernoulli trials
proc	which confidence interval procedure to use
conf.level	confidence level for the returned confidence interval
correct	a logical indicating whether continuity correction should be applied

Details

The Wald procedure is the textbook procedure for confidence intervals. Arcsine procedure is obtained through the variance stabilizing transformation arcsine(sqrt(p)). Wilson and Clopper-Pearson procedures are obtained through the functions prop.test and binom.test respectively.

Value

a numeric vector of length 2, giving the bounds of the confidence interval

Examples

binom.conf.int(4, 10, "wald")
binom.conf.int(4, 10, "wilson")
binom.conf.int(4, 10, "arcsine")
binom.conf.int(4, 10, "clopper")

HervePerdry/M1SP documentation built on Dec. 16, 2024, 8:19 p.m.