Binomial confidence intervals using the probit parameterization

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Description

Uses the probit parameterization on the observed proportion to construct confidence intervals.

Usage

1
binom.probit(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 (sdorairaj@gmail.com)

See Also

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

Examples

1
binom.probit(x = 0:10, n = 10)