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ratesci (version 0.2-0)

Confidence Intervals for Comparisons of Binomial or Poisson Rates

Description

Computes confidence intervals for the rate (or risk) difference ("RD") or rate ratio (or relative risk, "RR") for binomial proportions or Poisson rates, or for odds ratio ("OR", binomial only). Also confidence intervals for a single binomial or Poisson rate, and intervals for matched pairs. Includes asymptotic score methods including skewness corrections, which have been developed in Laud (2017, in press) from Miettinen & Nurminen (1985) and Gart & Nam (1988) . Also includes MOVER methods (Method Of Variance Estimates Recovery), derived from the Newcombe method but using equal-tailed Jeffreys intervals, and generalised for incorporating prior information. Also methods for stratified calculations (e.g. meta-analysis), either assuming fixed effects or incorporating stratum heterogeneity.

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Version

Install

install.packages('ratesci')

Monthly Downloads

492

Version

0.2-0

License

GPL-3

Maintainer

Pete Laud

Last Published

April 21st, 2017

Functions in ratesci (0.2-0)

scoreci

Score confidence intervals for comparisons of independent binomial or Poisson
tdasci

t-distribution asymptotic score ("TDAS") confidence intervals for
jeffreysci

Jeffreys and other approximate Bayesian confidence intervals for a single
moverbci

Approximate Bayesian ("MOVER-B") confidence intervals for
ratesci-package

ratesci: A package for computing confidence intervals for various
scasci

Skewness-corrected asymptotic score ("SCAS") confidence intervals for
moverci

MOVER confidence intervals for comparisons of independent binomial or Poisson
pairbinci

Skewness-corrected confidence intervals for comparisons of paired binomial