ratesci: 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 skewness-corrected asymptotic score ('SCAS') methods, which have been developed in Laud (2017) <doi:10.1002/pst.1813> 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) for all contrasts, derived from the Newcombe method but using equal-tailed Jeffreys intervals, and generalised for Bayesian applications incorporating prior information. So-called 'exact' methods for strictly conservative coverage are approximated using continuity corrections. Also includes methods for stratified calculations (e.g. meta-analysis), either assuming fixed effects or incorporating stratum heterogeneity.

Version: 0.3-0
Depends: R (≥ 3.2.5)
Suggests: testthat
Published: 2018-02-15
Author: Pete Laud [aut, cre]
Maintainer: Pete Laud <p.j.laud at sheffield.ac.uk>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: MetaAnalysis
CRAN checks: ratesci results


Reference manual: ratesci.pdf
Package source: ratesci_0.3-0.tar.gz
Windows binaries: r-devel: ratesci_0.3-0.zip, r-release: ratesci_0.3-0.zip, r-oldrel: ratesci_0.3-0.zip
OS X El Capitan binaries: r-release: ratesci_0.3-0.tgz
OS X Mavericks binaries: r-oldrel: ratesci_0.2-0.tgz
Old sources: ratesci archive


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