binom.power
From binom v1.11
by Sundar DoraiRaj
Power curves for binomial parameterizations
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
 A vector of success probabilities under the alternative hypothesis.
 n
 A vector representing the number of independent trials in the binomial experiment.
 p
 A vector of success probabilities under the null hypothesis.
 alpha
 A vector of typeI error rates.
 phi
 A vector determining the overdispersion parameter for each binomial experiment.
 alternative
 Type of alternative hypothesis.
 method
 The method used to compute power.
Details
For derivations see doc/binom.pdf. p.alt
, n
,
p
, alpha
, and phi
can all be vectors. The length
of each argument will be expanded to the longest length. The function
assumes the lengths are equal or can be wrapped for multiple values.
Value

The estimated probability of detecting the difference between
p.alt
and p
.
See Also
binom.confint
, binom.bayes
,
binom.logit
, binom.probit
, binom.coverage
Examples
binom.power(0.95, alternative = "greater")
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