binom.logit: Binomial confidence intervals using the logit...

In binom: Binomial Confidence Intervals for Several Parameterizations

Binomial confidence intervals using the logit parameterization

Description

Uses the logistic (logit) parameterization on the observed proportion to construct confidence intervals.

Usage

binom.logit(x, n, conf.level = 0.95, ...)

Arguments

x	Vector of number of successes in the binomial experiment.
n	Vector of number of independent trials in the binomial experiment.
conf.level	The level of confidence to be used in the confidence interval.
...	ignored

Details

For derivations see doc/binom.pdf.

Value

A data.frame containing the observed proportions and the lower and upper bounds of the confidence interval.

Author(s)

Sundar Dorai-Raj ([e-mail])

See Also

binom.confint, binom.bayes, binom.logit, binom.probit, binom.coverage

Examples

binom.logit(x = 0:10, n = 10)

binom documentation built on May 2, 2022, 5:05 p.m.