person("Ryan", "Elmore", email = "rtelmore@gmail.com", role = c("cre", "aut")),
person("Peter", "DeWitt", email = "dewittpe@gmail.com", role = "ctb"))
Imports: dplyr (>= 0.7.0), janitor, lubridate, magrittr, rlang, rvest,
Suggests: covr, devtools, knitr, ggplot2, rmarkdown, scales, XML

Suggests: covr, devtools, knitr, ggplot2, rmarkdown, scales

Title: High Dimensional Bayesian Mediation Analysis
Description: Perform mediation analysis in the presence of high-dimensional
mediators based on the potential outcome framework. Bayesian Mediation
Analysis (BAMA), developed by Song et al (2018) <doi:10.1101/467399>, relies
on two Bayesian sparse linear mixed models to simultaneously analyze a
relatively large number of mediators for a continuous exposure and outcome
assuming a small number of mediators are truly active. This sparsity
assumption also allows the extension of univariate mediator analysis by
casting the identification of active mediators as a variable selection
problem and applying Bayesian methods with continuous shrinkage priors on

Analysis (BAMA), developed by Song et al (2019) <doi:10.1111/biom.13189>,
relies on two Bayesian sparse linear mixed models to simultaneously analyze
a relatively large number of mediators for a continuous exposure and outcome

Analysis (BAMA), developed by Song et al (2019) <doi:10.1111/biom.13189> and
LinkingTo: Rcpp, RcppArmadillo, RcppDist, BH

Title: Protein Secondary Structure Prediction Using the Bamboo Method
Description: Implementation of the Bamboo methods described in Li, Dahl, Vannucci, Joo, and Tsai (2014) <DOI:10.1371/journal.pone.0109832>.

Description: Implementation of the methods described in the paper Li, Dahl, Vannucci, Joo, and Tsai (2014), Bayesian Model of Protein Primary Sequence for Secondary Structure Prediction, PLOS ONE, revise and resubmit.

person("Tom", "Bowling", , "tom.bowling@ascent.io", role = c("aut", "cre")),
person("Harry", "Alexander", , "harry.alexander@ascent.io", role = "aut"),
person("Tim", "Fry", , "tim.fry@ascent.io", role = "aut"),
person("Andrew", "Little", role = "ctb"),
person("Mark", "Druffel", , "mdruffel@propellerpdx.com", role = "ctb"))
Description: Enables a user to consume the 'BambooHR' API endpoints using R. The
actual URL of the API will depend on your company domain, and will be handled
by the package automatically once you setup the config file. The API documentation
can be found here <https://documentation.bamboohr.com/docs>.
Imports: rlang, glue, httr, curl, jsonlite, magrittr, dplyr, purrr,
tibble, tidyr, lubridate, testthat, janitor, stringr, cli,
Packaged: 2022-03-14 14:31:15 UTC; tom.bowling