Authors@R: c(person(c("Lacey", "W."), "Heinsberg", email = "law145@pitt.edu", role = c("aut", "cre")),
person(c("Daniel","E."), "Weeks",    email = "weeks@pitt.edu", role = c("aut")),
Description: Contains functions that check for formatting of the Subject Phenotype data set and data dictionary as specified by the National Center for Biotechnology Information (NCBI) Database of Genotypes and Phenotypes (dbGaP) <https://www.ncbi.nlm.nih.gov/gap/docs/submissionguide/>.
Imports: readxl, tidyr, dplyr, formatR, ggplot2, pander, magrittr,
rmarkdown, purrr, questionr, tibble, rlang, labelled, stats,
Maintainer: Lacey W. Heinsberg <law145@pitt.edu>

Title: Confidence Interval for Matrix Completion via De-Biased
Authors@R: person("The Tien", "Mai", email = "t.t.mai@medisin.uio.no", role = c("aut", "cre"))
Description: Implements the de-biased estimator for low-rank matrix completion and provides confidence intervals for entries of interest. See: by Chen et al. (2019) <doi:10.1073/pnas.1910053116>, Mai (2021) <arXiv:2103.11749>.
Maintainer: The Tien Mai <t.t.mai@medisin.uio.no>

Title: Produce R Functions to Create HTML Forms Based on SQL Meta Data
Description: Offers meta programming style tools to generate configurable R functions that produce HTML forms based on table input and SQL meta data.
Also generates functions for collecting the parameters of those HTML forms after they are submitted. Useful for
quickly generating HTML forms based on existing SQL tables. To use the resultant functions, the output files containing those functions must
be read into the R environment (perhaps using base::source()).

Title: Discrete Bayesian Additive Regression Trees Sampler
Author: Hugh Chipman <hugh.chipman@gmail.com>, Robert McCulloch <robert.mcculloch1@gmail.com>, Vincent Dorie <vjd4@nyu.edu>
Description: Fits Bayesian additive regression trees (BART) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/MH sampler. Also serves as a drop-in replacement for package BayesTree.