binom.cloglog

0th

Percentile

Binomial confidence intervals using the cloglog parameterization

Uses the complementary log (cloglog) parameterization on the observed proportion to construct confidence intervals.

Keywords
models, htest, univar
Usage
binom.cloglog(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.

See Also

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

Aliases
  • binom.cloglog
Examples
binom.cloglog(x = 0:10, n = 10)
Documentation reproduced from package binom, version 1.1-1, License: GPL

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