ratesci v0.2-0

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by Pete Laud

Confidence Intervals for Comparisons of Binomial or Poisson Rates

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) <doi:10.1002/sim.4780040211> and Gart & Nam (1988) <doi:10.2307/2531848>. 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.

Functions in ratesci

Name Description
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
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Type Package
Date 2017-04-21
License GPL-3
Encoding UTF-8
RoxygenNote 5.0.1
LazyData true
NeedsCompilation no
Packaged 2017-04-21 13:24:29 UTC; petelaud
Repository CRAN
Date/Publication 2017-04-21 13:49:54 UTC
depends R (>= 3.2.5)
suggests testthat
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