desctools_binom: Confidence intervals for a difference of binomials

Description

Several confidence intervals for the difference between proportions.

Usage

desctools_binom(
  x1,
  n1,
  x2,
  n2,
  conf.level = 0.95,
  sides = c("two.sided", "left", "right"),
  method = c("ac", "wald", "waldcc", "score", "scorecc", "mn", "mee", "blj", "ha", "hal",
    "jp")
)
desctools_binomci(
  x,
  n,
  conf.level = 0.95,
  sides = c("two.sided", "left", "right"),
  method = c("wilson", "wald", "waldcc", "agresti-coull", "jeffreys", "modified wilson",
    "wilsoncc", "modified jeffreys", "clopper-pearson", "arcsine", "logit", "witting",
    "pratt", "midp", "lik", "blaker"),
  rand = 123,
  tol = 1e-05
)

Value

A matrix of 3 values:

est: estimate of proportion difference.
lwr.ci: estimate of lower end of the confidence interval.
upr.ci: estimate of upper end of the confidence interval.

A matrix with 3 columns containing:

est: estimate of proportion difference.
lwr.ci: lower end of the confidence interval.
upr.ci: upper end of the confidence interval.

Arguments

conf.level: (proportion)
confidence level, defaults to 0.95.
sides: (string)
side of the confidence interval to compute. Must be one of "two-sided" (default), "left", or "right".
method: (string)
method to use. Can be one out of: "wald", "wilson", "wilsoncc", "agresti-coull", "jeffreys", "modified wilson", "modified jeffreys", "clopper-pearson", "arcsine", "logit", "witting", "pratt", "midp", "lik", and "blaker".
x: (integer(1))
number of successes.
n: (integer(1))
number of trials.

Functions

desctools_binom(): Several confidence intervals for the difference between proportions.
desctools_binomci(): Compute confidence intervals for binomial proportions.