Package: metapack
Type: Package
Title: Bayesian Meta-Analysis and Network Meta-Analysis
Version: 0.2.0
Date: 2022-05-28
Authors@R: c(
	person("Daeyoung", "Lim", email = "daeyoung.lim@uconn.edu",
	role = c("aut", "cre")),
	person("Ming-Hui", "Chen", email = "ming-hui.chen@uconn.edu",
	role = "ctb"),
	person("Sungduk", "Kim", email = "kims2@mail.nih.gov",
	role = "ctb"),
	person("Joseph", "Ibrahim", email = "ibrahim@bios.unc.edu",
	role = "ctb"),
	person("Arvind", "Shah", email = "arvind_shah@merck.com", role = "ctb"),
	person("Jianxin", "Lin", email = "jianxin_lin@merck.com", role = "ctb"))
Description: Contains functions performing Bayesian inference for meta-analytic and network meta-analytic models through Markov chain Monte Carlo algorithm. Currently, the package implements Hui Yao, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin (2015) <doi:10.1080/01621459.2015.1006065> and Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021) <doi:10.1002/sim.8983>. For maximal computational efficiency, the Markov chain Monte Carlo samplers for each model, written in C++, are fine-tuned. This software has been developed under the auspices of the National Institutes of Health and Merck & Co., Inc., Kenilworth, NJ, USA.
License: GPL (>= 3)
Encoding: UTF-8
LazyLoad: yes
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: yes
Imports: Rcpp, ggplot2, methods, gridExtra, Formula
Depends: R (>= 3.4)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, BH
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: http://merlot.stat.uconn.edu/packages/metapack/
BugReports: https://github.com/daeyounglim/metapack/issues
Packaged: 2022-05-30 14:27:05 UTC; daeyounglim
Author: Daeyoung Lim [aut, cre],
  Ming-Hui Chen [ctb],
  Sungduk Kim [ctb],
  Joseph Ibrahim [ctb],
  Arvind Shah [ctb],
  Jianxin Lin [ctb]
Maintainer: Daeyoung Lim <daeyoung.lim@uconn.edu>
Repository: CRAN
Date/Publication: 2022-05-30 18:30:08 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 17:36:40 UTC; windows
Archs: i386, x64
