Title: Empirical Bayes Estimation and Inference
optimization.  See Koenker and Gu (2017) REBayes: An R Package for Empirical
Bayes Mixture Methods, Journal of Statistical Software, 82, 1--26,

Imports: methods, utils, reliaR, lattice

Title: Relevant Component Analysis for Supervised Distance Metric
Description: Relevant Component Analysis (RCA) tries to find a linear
transformation of the feature space such that the effect of irrelevant
variability is reduced in the transformed space.

person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre"),
Author: Nan Xiao [aut, cre] (<https://orcid.org/0000-0002-0250-5673>)

Title: Robust and Efficient Analysis using Control function approach,
Description: Performs robust and efficient analysis of the effect of exposure on a secondary outcome in a case-control study.
Packaged: 2013-11-27 16:36:58 UTC; tamarsofer

Title: Automated Construction of R Data Packages from REDCap Projects
Authors@R: person("Peter", "DeWitt", email = "peter.dewitt@cuanschutz.edu", role = c("aut", "cre"))
Description: Export all data, including metadata, from a REDCap (Research
Electronic Data Capture) Project via the REDCap API
The exported (meta)data will be processed and formatted into a stand alone R
data package which can be installed and shared between researchers.  Several
default reports are generated as vignettes in the resulting package.
Suggests: data.table, devtools, fs, knitr, magrittr, qwraps2 (> 0.4.1),

Imports: data.table, keyring, lubridate, RCurl
Suggests: devtools, fs, knitr, magrittr, qwraps2 (> 0.4.1), rmarkdown,
Packaged: 2020-02-25 23:01:26 UTC; peterdewitt

Imports: curl, data.table, keyring, lubridate
Packaged: 2020-05-15 16:46:37 UTC; peterdewitt

Packaged: 2021-02-02 16:15:44 UTC; peterdewitt

Description: Encapsulates functions to streamline calls from R to the REDCap
API.  REDCap (Research Electronic Data CAPture) is a web application for
building and managing online surveys and databases developed at Vanderbilt
University.  The Application Programming Interface (API) offers an avenue
to access and modify data programmatically, improving the capacity for
Authors@R: c(person("Will", "Beasley", role = c("aut", "cre"), email =
"wibeasley@hotmail.com", comment = c(ORCID = "0000-0002-5613-5006")),
person("Thomas", "Wilson", role = "ctb"), person(given="John J",
family="Aponte", role = "ctb", email="john.aponte@isglobal.org"),
person("Rollie", "Parrish", role = "ctb", email =
role = "ctb"), person("Andrew", "Peters",
Imports: dplyr (>= 0.5.0), httr (>= 1.3.0), magrittr, methods, readr
kableExtra, knitr (>= 1.18.0), odbc (>= 1.1.1), rmarkdown,
Packaged: 2019-09-22 22:46:44 UTC; wibeasley
Author: Will Beasley [aut, cre] (<https://orcid.org/0000-0002-5613-5006>),