person("Tobias", "Saueressig", role = c("rev")),
Description: Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple
time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions,
Imports: knitr, grDevices, stats, graphics, utils, dplyr (>= 0.7.4),
Suggests: scales (>= 1.0.0), overlapping (>= 1.5.0), ggplot2 (>=

Title: Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models
lspline(>= 1.0-0), rmarkdown, zoo (>= 1.8-8), testthat (>=

Title: Multivariate Bayesian Sparse Group Selection with Spike and Slab
Imports: MCMCpack, MASS, mgcv, mnormt, truncnorm
Description: An implementation of a Bayesian sparse group model using spike and slab priors in a regression context. It is designed for regression with a multivariate response variable, but also provides an implementation for univariate response.

Title: Multivariate Bayesian Model with Shrinkage Priors
Description: Implements a sparse Bayesian multivariate linear regression model using shrinkage priors from the three parameter beta normal family. The method is described in Bai and Ghosh (2018) <arXiv:1711.07635>.
Depends: R (>= 3.1.0), Matrix, MASS, GIGrvg, coda, MCMCpack

Description: Gibbs sampler for fitting multivariate Bayesian linear regression with shrinkage priors (MBSP), using the three parameter beta normal family. The method is described in Bai and Ghosh (2018) <doi:10.1016/j.jmva.2018.04.010>.
Imports: stats, MCMCpack, GIGrvg, utils, MASS

Title: Access Data from the Massachusetts Bay Transit Authority (MBTA)
Authors@R: person("Justin", "de Benedictis-Kessner", email = "justindbk@gmail.com", role = c("aut", "cre"))
Description: Access to the MBTA API for R. Creates an easy-to-use bundle of
functions to work with all the built-in calls to the MBTA API. Allows users
to download realtime tracking data in dataframe format that is manipulable
Author: Justin de Benedictis-Kessner [aut, cre]
Maintainer: Justin de Benedictis-Kessner <justindbk@gmail.com>