DESCRIPTION

Package: bayesynergy
Type: Package
Title: Bayesian semi-parametric modelling for in-vitro drug combination experiments
Version: 2.5.1
Date: 2023-01-24
Authors@R: c(
  person("Leiv", "Rønneberg", email = "leiv.ronneberg@mrc-bsu.cam.ac.uk", role = c("aut", "cre")),
  person("Andrea", "Cremaschi", role = c("aut")),
  person("Robert", "Hanes", role = c("aut")),
  person("Chi", "Zhang", email = "chi.zhang@medisin.uio.no", role = c("aut")),
  person("Manuela", "Zucknick", email = "manuela.zucknick@medisin.uio.no", role = c("aut"))
  )
Maintainer: Leiv Rønneberg <leiv.ronneberg@mrc-bsu.cam.ac.uk>
Description: The package implements a Gaussian process (GP) - based regression model to estimate the response surface of the viability responses obtained when two drugs are combined. The input data consists of the measured viability responses and the doses used in the combination experiment. Furthermore, the user can choose between different kernels for the definition of the covariance structure.
License: GPL (>= 2)
Imports: 
    bridgesampling,
    Cairo,
    doParallel,
    doSNOW,
    dplyr,
    foreach,
    ggplot2,
    ggrepel,
    ggridges,
    gridExtra,
    htmlwidgets,
    methods,
    plotly,
    Rcpp (>= 0.12.0),
    RcppParallel (>= 5.0.1),
    rstan (>= 2.18.1),
    rstantools (>= 2.1.1),
    scales,
    viridis
Depends: 
    R (>= 3.5.0)
LinkingTo: 
    BH (>= 1.66.0),
    Rcpp (>= 0.12.0),
    RcppEigen (>= 0.3.3.3.0),
    RcppParallel (>= 5.0.1),
    rstan (>= 2.18.1),
    StanHeaders (>= 2.18.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.2.3
Biarch: true
SystemRequirements: GNU make
URL: https://ocbe-uio.github.io/bayesynergy/