desctools_binom {tern}

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
)

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.

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.

Functions

• desctools_binom(): Several confidence intervals for the difference between proportions.

• desctools_binomci(): Compute confidence intervals for binomial proportions.