Description: This package facilitates evaluation of expression data

Title: Tools for Attribute VSI CUSUM Control Chart
person("Hanwool", "Kim", email = "stat.hanwool@gmail.com",
person("Sangyeol", "Lee", email = "sylee@stat.snu.ac.kr",
Description: An implementation of tools for design of attribute
variable sampling interval cumulative sum chart.
It currently provides information for monitoring of mean increase such as
average number of sample to signal, average time to signal,
a matrix of transient probabilities, suitable control limits when the data are
Functions in the tools can be easily applied to other count processes.
Also, tools might be extended to more complicated cumulative sum control chart.
We leave these issues as our perpetual work.
Suggests: testthat (>= 1.0.2), knitr (>= 1.15.1), rmarkdown (>= 1.2)

person(c("Richard","Aubrey"), "White", email = "hello@rwhite.no", role = c("aut", "cre"),
person("Aurora", "Hofman", role = "aut",
Description: Provides functions for estimating the attributable burden of disease due to risk factors. The posterior simulation is performed using arm::sim as described in Gelman, Hill (2012) <doi:10.1017/CBO9780511790942> and the attributable burden method is based on Nielsen, Krause, Molbak <doi:10.1111/irv.12564>.
Imports: data.table, magrittr, glue, pbs, dlnm, lubridate, mvmeta,
tsModel, stats, lme4, arm, tibble, stringr, ggplot2, utils,
Maintainer: Richard Aubrey White <hello@rwhite.no>

Author: Louis Schenck, Elizabeth Atkinson, Cynthia Crowson, Terry Therneau
Description: Estimates population (etiological) attributable risk for
unmatched, pair-matched or set-matched case-control designs and returns a
list containing the estimated attributable risk, estimates of coefficients,
and their standard errors, from the (conditional, If necessary) logistic
regression used for estimating the relative risk.

Description: Abridged data from the American Time Use Survey (ATUS) for years 2003-2016. The ATUS is an annual survey conducted on a sample of individuals across the United States studying how individuals spent their time over the course of a day. Individual respondents were interviewed about what activities they did, during what times (rounded to 15 minute increments), at what locations, and in the presence of which individuals. The activities are subsequently encoded based on 3 separate tier codes for classification. This package includes data from the multi-year ATUS Activities, ATUS-CPS, and ATUS Respondents files were included. Columns were selected based on completeness of data as well as presence on the Frequently Used Variables list provided by the ATUS website. All activity codes (other than code '50' for 'Unable to Code') were included. Permission was obtained from the Bureau of Labor Statistics for inclusion in this package. The full data can be obtained from <http://www.bls.gov/tus/>.