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R-MBNMAdose
R-MBNMAdose.spec
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File R-MBNMAdose.spec of Package R-MBNMAdose
# Automatically generated by CRAN2OBS # # Spec file for package MBNMAdose # This file is auto-generated using information in the package source, # esp. Description and Summary. Improvements in that area should be # discussed with upstream. # # Copyright (c) 2024 SUSE LINUX GmbH, Nuernberg, Germany. # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # # Please submit bugfixes or comments via http://bugs.opensuse.org/ # %global packname MBNMAdose %global rlibdir %{_libdir}/R/library Name: R-%{packname} Version: 0.4.3 Release: 0 Summary: Dose-Response MBNMA Models Group: Development/Libraries/Other License: GPL-3 URL: http://cran.r-project.org/web/packages/%{packname} Source: MBNMAdose_0.4.3.tar.gz Requires: R-base Requires: R-scales Requires: R-dplyr Requires: R-R2jags Requires: R-rjags Requires: R-magrittr Requires: R-checkmate Requires: R-Rdpack Requires: R-igraph Requires: R-reshape2 Requires: R-backports Requires: R-cli Requires: R-generics Requires: R-glue Requires: R-lifecycle Requires: R-pillar Requires: R-R6 Requires: R-rlang Requires: R-tibble Requires: R-tidyselect Requires: R-vctrs Requires: R-pkgconfig Requires: R-cpp11 Requires: R-abind Requires: R-coda Requires: R-R2WinBUGS Requires: R-stringr Requires: R-rbibutils Requires: R-plyr Requires: R-Rcpp Requires: R-farver Requires: R-labeling Requires: R-munsell Requires: R-RColorBrewer Requires: R-viridisLite Requires: R-colorspace Requires: R-fansi Requires: R-utf8 Requires: R-stringi Requires: R-withr Requires: jags Requires: jags-devel # %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} # # Three others commonly needed # BuildRequires: tex(ae.sty) # BuildRequires: tex(fancyvrb.sty) # BuildRequires: tex(inconsolata.sty) # BuildRequires: tex(natbib.sty) # %else # BuildRequires: texlive # %endif # BuildRequires: texinfo BuildRequires: fdupes BuildRequires: R-base BuildRequires: R-scales BuildRequires: R-dplyr BuildRequires: R-R2jags BuildRequires: R-rjags BuildRequires: R-magrittr BuildRequires: R-checkmate BuildRequires: R-Rdpack BuildRequires: R-igraph BuildRequires: R-reshape2 BuildRequires: R-backports BuildRequires: R-cli BuildRequires: R-generics BuildRequires: R-glue BuildRequires: R-lifecycle BuildRequires: R-pillar BuildRequires: R-R6 BuildRequires: R-rlang BuildRequires: R-tibble BuildRequires: R-tidyselect BuildRequires: R-vctrs BuildRequires: R-pkgconfig BuildRequires: R-cpp11-devel BuildRequires: R-abind BuildRequires: R-coda BuildRequires: R-R2WinBUGS BuildRequires: R-stringr BuildRequires: R-rbibutils BuildRequires: R-plyr BuildRequires: R-Rcpp-devel BuildRequires: R-farver BuildRequires: R-labeling BuildRequires: R-munsell BuildRequires: R-RColorBrewer BuildRequires: R-viridisLite BuildRequires: R-colorspace BuildRequires: R-fansi BuildRequires: R-utf8 BuildRequires: R-stringi BuildRequires: R-withr BuildRequires: jags BuildRequires: jags-devel Suggests: R-overlapping Suggests: R-ggplot2 Suggests: R-RColorBrewer Suggests: R-mcmcplots Suggests: R-coda Suggests: R-testthat Suggests: R-crayon Suggests: R-forestplot Suggests: R-ggdist Suggests: R-zoo Suggests: R-lspline Suggests: R-formatR Suggests: R-netmeta Suggests: R-knitr Suggests: R-rmarkdown %description Fits Bayesian dose-response model-based network meta-analysis (MBNMA) that incorporate multiple doses within an agent by modelling different dose-response functions, as described by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>. By modelling dose-response relationships this can connect networks of evidence that might otherwise be disconnected, and can improve precision on treatment estimates. Several common dose-response functions are provided; others may be added by the user. Various characteristics and assumptions can be flexibly added to the models, such as shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting at the treatment level. %prep %setup -q -c -n %{packname} # the next line is needed, because we build without --clean in between two packages rm -rf ~/.R %build %install mkdir -p %{buildroot}%{rlibdir} %{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname} test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so) rm -f %{buildroot}%{rlibdir}/R.css %fdupes -s %{buildroot}%{rlibdir} #%%check #%%{_bindir}/R CMD check %%{packname} %files %dir %{rlibdir}/%{packname} %{rlibdir}/%{packname}/CITATION %doc %{rlibdir}/%{packname}/DESCRIPTION %{rlibdir}/%{packname}/INDEX %{rlibdir}/%{packname}/Meta %{rlibdir}/%{packname}/NAMESPACE %doc %{rlibdir}/%{packname}/NEWS.md %{rlibdir}/%{packname}/R %{rlibdir}/%{packname}/REFERENCES.bib %{rlibdir}/%{packname}/data %{rlibdir}/%{packname}/doc %doc %{rlibdir}/%{packname}/help %doc %{rlibdir}/%{packname}/html %changelog
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