Package: netmeta
Title: Network Meta-Analysis using Frequentist Methods
Version: 2.1-0
Date: 2022-01-20
Depends: R (>= 3.5.0), meta (>= 5.0-0)
Imports: magic, MASS, ggplot2 (>= 3.0.0), metafor
Suggests: colorspace, rgl, hasseDiagram (>= 0.1.3), grid, mvtnorm,
        gridExtra, igraph (>= 1.0.1), tictoc
Authors@R: c(person("Gerta", "Rücker",
                    role = "aut",
                    comment = c(ORCID = "0000-0002-2192-2560")),
             person("Ulrike", "Krahn",
                    role = "aut"),
             person("Jochem", "König",
                    role = "aut",
                    comment = c(ORCID = "0000-0003-4683-0360")),
             person("Orestis", "Efthimiou",
                    role = "aut",
                    comment = c(ORCID = "0000-0002-0955-7572")),
             person("Annabel", "Davies",
                    role = "aut",
                    comment = c(ORCID = "0000-0003-2320-7701")),
             person("Theodoros", "Papakonstantinou",
                    role = "aut",
                    comment = c(ORCID = "0000-0002-6630-6817")),
             person("Guido", "Schwarzer",
                    role = c("aut", "cre"),
                    email = "sc@imbi.uni-freiburg.de",
                    comment = c(ORCID = "0000-0001-6214-9087")))
URL: https://github.com/guido-s/netmeta
        https://link.springer.com/book/10.1007/978-3-319-21416-0
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis and supporting Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis":
 - frequentist network meta-analysis following Rücker (2012) <DOI:10.1002/jrsm.1058>;
 - net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) <DOI:10.1186/1471-2288-13-35>;
 - measures characterizing the flow of evidence between two treatments by König et al. (2013) <DOI:10.1002/sim.6001>;
 - ranking of treatments (frequentist analogue of SUCRA) according to Rücker & Schwarzer (2015) <DOI:10.1186/s12874-015-0060-8>;
 - partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) <DOI:10.1002/cem.2569>; (Rücker & Schwarzer, 2017) <DOI:10.1002/jrsm.1270>;
 - split direct and indirect evidence to check consistency (Dias et al., 2010) <DOI:10.1002/sim.3767>, (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>;
 - league table with network meta-analysis results;
 - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <DOI:10.1002/bimj.201800167>;
 - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <DOI:10.1002/sim.8158>;
 - 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012) <DOI:10.1002/jrsm.57>;
 - automated drawing of network graphs described in Rücker & Schwarzer (2016) <DOI:10.1002/jrsm.1143>;
 - rankograms and ranking by SUCRA;
 - contribution matrix as described in Papakonstantinou et al. (2018) <DOI:10.12688/f1000research.14770.3> and Davies et al. (2021) <arXiv:2107.02886>.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2022-01-20 13:13:09 UTC; sc
Author: Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>),
  Ulrike Krahn [aut],
  Jochem König [aut] (<https://orcid.org/0000-0003-4683-0360>),
  Orestis Efthimiou [aut] (<https://orcid.org/0000-0002-0955-7572>),
  Annabel Davies [aut] (<https://orcid.org/0000-0003-2320-7701>),
  Theodoros Papakonstantinou [aut]
    (<https://orcid.org/0000-0002-6630-6817>),
  Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>
Repository: CRAN
Date/Publication: 2022-01-20 14:32:42 UTC
Built: R 4.0.5; ; 2022-04-18 09:25:31 UTC; windows
