Packaged: 2022-03-02 02:40:20 UTC; swihartbj

Title: Bridge Hand Generator with Criteria Selector
Authors@R: c(person("Jason", "Kaplan", role = c("aut", "cre"),
Description: Produce bridge hands, allowing parameters for hands to offer specific for bidding sequences.
Imports: cowplot, dplyr, patchwork, tibble, tidyr, magrittr, ggplot2,
ggedit, glue, gridExtra, kableExtra, pdftools, scales, stringr
SystemRequirements: LaTeX(texi2dvi) must be present in the system to

Title: Genome-Wide RNA Degradation Analysis Using BRIC-Seq Data
Authors@R: person("Naoto", "Imamachi", email = "naoto.imamachi@gmail.com", role = c("aut", "cre"))
Description: BRIC-seq is a genome-wide approach for determining RNA stability in mammalian cells.
This package provides a series of functions for performing quality check of your BRIC-seq data,
calculation of RNA half-life for each transcript and comparison of RNA half-lives between two conditions.
Imports: data.table, ggplot2, shiny, shinydashboard, plotly, BSDA,

Title: Bridge Sampling for Marginal Likelihoods and Bayes Factors
Imports: mvtnorm, Matrix, Brobdingnag, stringr, coda, parallel, scales
Suggests: testthat, Rcpp, RcppEigen, R2jags, knitr, rmarkdown, R.rsp
Description: Provides functions for estimating marginal likelihoods, Bayes factors,
posterior model probabilities, and normalizing constants in general,
via different versions of bridge sampling (Meng & Wong, 1996,

family="Wagenmakers", role="ths"), person(family="The JASP Team",
role="ctb"), person("Jiqiang", "Guo", role = "ctb"),
person("Jonah", "Gabry", role = "ctb"), person("Ben", "Goodrich",
Imports: mvtnorm, Matrix, Brobdingnag, stringr, coda, parallel, scales,
Suggests: testthat, Rcpp, RcppEigen, R2jags, knitr, rmarkdown, R.rsp,

person("Ben", "Goodrich", role = c("ctb")))
Suggests: testthat, Rcpp, RcppEigen, R2jags, rjags, runjags, knitr,
rmarkdown, R.rsp, BayesFactor, rstan, rstanarm
Description: Provides functions for estimating marginal likelihoods, Bayes
factors, posterior model probabilities, and normalizing constants in general,
via different versions of bridge sampling (Meng & Wong, 1996, <http://
Author: Quentin F. Gronau [aut, cre] (<https://orcid.org/0000-0001-5510-6943>),