scaspci: Skewness-corrected asymptotic score ("SCAS") confidence...

In PeteLaud/ratesci: Confidence Intervals for Comparisons of Binomial or Poisson Rates

Skewness-corrected asymptotic score ("SCAS") confidence intervals for single binomial or Poisson rate using closed-form calculations. This function is vectorised in x, n.

Description

Skewness-corrected asymptotic score ("SCAS") confidence intervals for single binomial or Poisson rate using closed-form calculations. This function is vectorised in x, n.

Usage

scaspci(
  x,
  n,
  distrib = "bin",
  level = 0.95,
  bcf = FALSE,
  bign = n,
  cc = FALSE,
  ...
)

Arguments

x	Numeric vector of number of events.
n	Numeric vector of sample sizes (for binomial rates) or exposure times (for Poisson rates).
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).
bcf	Logical (default TRUE) indicating whether to apply bias correction in the score denominator. Applicable to distrib = "bin" only.
bign	Sample size N to be used in the calculation of bcf, if different from n.
cc	Number or logical (default FALSE) specifying (amount of) continuity correction. Numeric value is taken as the gamma parameter in Laud 2017, Appendix S2 (default 0.5 for 'conventional' correction if cc = TRUE).
...	Other arguments.

Author(s)

Pete Laud, [e-mail]

PeteLaud/ratesci documentation built on Feb. 19, 2025, 9:33 a.m.