Title: Generates Prior Distributions for Proportions
Description: Translates beliefs into prior information in the form of Beta and Gamma distributions. It can be mainly used for the generation of priors on the prevalence of disease and the sensitivity/specificity of diagnostic tests.

Title: Differentially private regularized logistic regression
Author: Staal A. Vinterbo <sav@ucsd.edu>
Maintainer: Staal A. Vinterbo <sav@ucsd.edu>
Description: Differentially private regularized logistic regression

Title: Differentially Private Regularized Logistic Regression
Description: PrivateLR implements two differentially private algorithms for
estimating L2-regularized logistic regression coefficients. A randomized
algorithm F is epsilon-differentially private (C. Dwork, Differential
|log(P(F(D) in S)) - log(P(F(D') in S))| <= epsilon
for any pair D, D' of datasets that differ in exactly one element, any
set S, and the randomness is taken over the choices F makes.

Author: Staal A. Vinterbo <Staal.Vinterbo@ntnu.no>
Maintainer: Staal A. Vinterbo <Staal.Vinterbo@ntnu.no>
Description: Implements two differentially private algorithms for
for any pair D, D' of datasets that differ in exactly one record, any
measurable set S, and the randomness is taken over the choices F makes.

Title: PRO-CTCAE Data Management, Analysis, and Graphical Tools
Author: Blake Langlais [aut, cre], Amylou Dueck [aut]
Description: A collection of tools to facilitate standardized analysis
and graphical procedures when using the National Cancer Institute’s
Patient-Reported Outcomes version of the Common Terminology Criteria for
Imports: ggplot2, ggnewscale, ggtext, dplyr, Hmisc, magrittr

Imports: ggplot2, ggnewscale, ggtext, dplyr, Hmisc, magrittr,

Title: PRO-CTCAE Scoring, Analysis, and Graphical Tools

Adverse Events (PRO-CTCAE). NOTE: Some tools here require additional
packages be installed which are not available on CRAN at the time of this
version update ('ProAE' v0.2.8). These packages and their respective
repositories are listed here: 'ggpattern'
Suggests: ggpattern, knitr, rmarkdown, testthat