Package: multinma
Title: Bayesian Network Meta-Analysis of Individual and Aggregate Data
Version: 0.5.1
Authors@R: 
    person(given = c("David", "M."),
           family = "Phillippo",
           role = c("aut", "cre"),
           email = "david.phillippo@bristol.ac.uk",
           comment = c(ORCID = "0000-0003-2672-7841"))
Description: Network meta-analysis and network meta-regression models for 
    aggregate data, individual patient data, and mixtures of both individual 
    and aggregate data using multilevel network meta-regression as described by
    Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a
    Bayesian framework using 'Stan'.
License: GPL-3
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, stats, graphics, Rcpp (>= 0.12.0), RcppParallel (>=
        5.0.1), rstan (>= 2.19.2), rstantools (>= 2.0.0), Rdpack (>=
        0.7), tibble (>= 2.1.3), dplyr (>= 1.0.0), rlang, purrr,
        forcats, glue, randtoolbox, copula, tidyr (>= 1.0.0), stringr,
        Matrix, igraph, ggraph, ggplot2 (>= 3.3.0), ggdist (>= 2.1.1),
        truncdist, bayesplot
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)
SystemRequirements: GNU make
RoxygenNote: 7.2.3
Suggests: testthat (>= 2.1.0), withr, knitr, rmarkdown, parallel,
        R.rsp, rprojroot, loo (>= 2.0.0), logitnorm, crayon, tidygraph,
        pkgdown
RdMacros: Rdpack
URL: https://dmphillippo.github.io/multinma/,
        https://github.com/dmphillippo/multinma
BugReports: https://github.com/dmphillippo/multinma/issues
VignetteBuilder: knitr, R.rsp
NeedsCompilation: yes
Packaged: 2023-05-23 14:43:15 UTC; dp14189
Author: David M. Phillippo [aut, cre] (<https://orcid.org/0000-0003-2672-7841>)
Maintainer: David M. Phillippo <david.phillippo@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2023-05-24 11:20:02 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-05-24 13:31:37 UTC; unix
Archs: multinma.so.dSYM
