DESCRIPTION

Package: BUGSnet
Title: Bayesian network meta-analyses in compliance with best practice and reporting guidelines
Version: 1.1.3
Authors@R: c(
  person("Audrey", "Beliveau", email = "audrey.beliveau@uwaterloo.ca", role = c("aut","cph", "cre")),
  person("Justin", "Slater", email = "jslater@lighthouseoutcomes.com", role = "aut"),
  person("Devon", "Boyne", email = "devon.boyne1@ucalgary.ca", role = c("aut", "cph")),
  person("Eric", "Mackay", email = "emackay@lighthouseoutcomes.com", role = "ctb"),
  person("Harmohit Singh", "Bindra", email = "hsbindra@uwaterloo.ca", role = "ctb"),
  person("Augustine", "Wigle", email = "amhwigle@uwaterloo.ca", role = "ctb"),
  person("Lighthouse Outcomes Inc.", role = "cph")
  )
Description: BUGSnet (Bayesian inference Using Gibbs Sampling to conduct 
    NETwork meta-analysis) is a feature-rich R package to conduct Bayesian 
    network meta-analyses in compliance with best practice and reporting 
    guidelines. Bayesian analyses are conducted with JAGS. Outputs are 
    highly customizable and include network plots, tables of network 
    characteristics, league tables and league heat plots, SUCRA plots, 
    rankograms, forest plots, leverage plots, traceplots, posterior mean 
    deviance comparison plots.
License: CC BY-NC-SA 4.0
License_is_FOSS: yes
License_restricts_use: yes
URL: https://bugsnetsoftware.github.io
BugReports: https://github.com/audrey-b/BUGSnet/issues
Depends:
    R (>= 4.2)
Imports:
    coda,
    dplyr,
    ggplot2,
    graphics,
    gridExtra,
    igraph,
    magrittr,
    meta,
    plyr,
    purrr,
    RColorBrewer,
    Rdpack,
    rjags,
    rlang,
    scales,
    stringr,
    tibble,
    tidyr,
    tidyselect,
    utils
Suggests: 
    knitr (>= 1.25),
    rmarkdown (>= 1.16),
    testthat (>= 2.2.1)
Encoding: UTF-8
LazyData: yes
VignetteBuilder: knitr
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE, roclets = c("rd", "namespace", "collate"))
RdMacros: Rdpack