rateci: Selected confidence intervals for the single binomial or...
In ratesci: Confidence Intervals for Comparisons of Binomial or Poisson Rates

Description Usage Arguments Value Author(s)

Confidence intervals for the single binomial or Poisson rate. Including SCAS or Jeffreys intervals, with or without continuity correction, and 'exact' Clopper-Pearson/Garwood or mid-p intervals.

1	rateci(x, n, distrib = "bin", level = 0.95, cc = FALSE, precis = 6)

`x`	Numeric vector of number of events.
`n`	Numeric vector of sample size (for binomial rate) or exposure times (for Poisson rate).
`distrib`	Character string indicating distribution assumed for the input data: "bin" = binomial (default), "poi" = Poisson.
`level`	Number specifying confidence level (between 0 and 1, default 0.95).
`cc`	Number or logical (default FALSE) specifying continuity correction.
`precis`	Number (default 6) specifying precision (i.e. number of decimal places) to be used in optimisation subroutine for the SCAS and exact methods.

A list containing, for each method, a matrix containing lower and upper confidence limits for each value of x and n. Methods shown depend on the cc parameter, which specifies whether the continuity correction is applied to the SCAS and Jeffreys methods. The corresponding 'exact' method is Clopper-Pearson/Garwood if cc == TRUE and mid-p if cc == FALSE.

Pete Laud, p.j.laud@sheffield.ac.uk

ratesci documentation built on Dec. 11, 2021, 9:36 a.m.