SequentialDesign: Observational Database Study Planning using Exact Sequential Analysis for Poisson and Binomial Data

Functions to be used in conjunction with the 'Sequential' package that allows for planning of observational database studies that will be analyzed with exact sequential analysis. This package supports Poisson- and binomial-based data. The primary function, seq_wrapper(...), accepts parameters for simulation of a simple exposure pattern and for the 'Sequential' package setup and analysis functions. The exposure matrix is used to simulate the true and false positive and negative populations (Green (1983) <doi:10.1093/oxfordjournals.aje.a113521>, Brenner (1993) <doi:10.1093/oxfordjournals.aje.a116805>). Functions are then run from the 'Sequential' package on these populations, which allows for the exploration of outcome misclassification in data.

Version:	1.0
Depends:	R (≥ 3.3.1)
Imports:	Sequential, stats
Published:	2017-11-16
DOI:	10.32614/CRAN.package.SequentialDesign
Author:	Judith Maro [aut, cre], Laura Hou [aut]
Maintainer:	Judith Maro <judy_maro at harvardpilgrim.org>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	SequentialDesign results

Documentation:

Reference manual:

SequentialDesign.pdf

Downloads:

Package source:	SequentialDesign_1.0.tar.gz
Windows binaries:	r-devel: SequentialDesign_1.0.zip, r-release: SequentialDesign_1.0.zip, r-oldrel: SequentialDesign_1.0.zip
macOS binaries:	r-release (arm64): SequentialDesign_1.0.tgz, r-oldrel (arm64): SequentialDesign_1.0.tgz, r-release (x86_64): SequentialDesign_1.0.tgz, r-oldrel (x86_64): SequentialDesign_1.0.tgz

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