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binom (version 1.0-0)

binom.power: Power curves for binomial parameterizations

Description

Uses Wald statistics to compute power curves for several parameterizations.

Usage

binom.power(p.alt, n = 100, p = 0.5, alpha = 0.05, phi = 1,
            alternative = c("two.sided", "greater", "less"),
            method = c("cloglog", "logit", "probit", "asymp", "lrt", "exact"))

Arguments

p.alt
Probability of success under the alternative hypothesis.
n
Vector of number of independent trials in the binomial experiment.
p
Probability of success under the null hypothesis.
alpha
Type-I error rate.
phi
Overdispersion parameter.
alternative
Type of alternative hypothesis.
method
The method used to compute power.

Value

  • The estimated probability of detecting the difference between p.alt and p.

Details

For derivations see doc/binom.pdf.

See Also

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

Examples

Run this code
binom.power(0.95, alternative = "greater")

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