Observational Database Study Planning using Exact Sequential
Analysis for Poisson and Binomial Data
c(person("Judith", "Maro", role=c("aut", "cre"), email = "judy_maro@harvardpilgrim.org"), person("Laura", "Hou", role="aut", email="laura_hou@harvardpilgrim.org"))
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.

Computation and visualization of socioeconomic indices and
categories distributions
c(person("Benoit", "Lalloue", role = c("aut", "cre"), email
= "benoit.lalloue@ehesp.fr"), person("Severine", "Deguen", role
= c("ths", "aut"), email = "severine.deguen@ehesp.fr"),
person("Jean-Marie", "Monnez", role =c("ths", "aut"), email =
"jean-marie.monnez@univ-lorraine.fr"), person("Nolwenn", "Le
Meur", role = c("aut")))
This package allows computing and visualizing
socioeconomic indices and categories distributions from
datasets of socioeconomic variables (These tools were developed
as part of the EquitArea Project, a public health program).

SetMethods: A Package Companion to "Set-Theoretic Methods for
the Social Sciences".
SetMethods is a package companion to the book by C. Q.
Schneider and C. Wagemann "Set-Theoretic Methods for the Social
Sciences", Cambridge University Press. It contains some
additional functions not present in other packages and data to
replicate the examples in the book and in the online appendix.