File R-missingHE.spec of Package R-missingHE
# Automatically generated by CRAN2OBS
#
# Spec file for package missingHE
# 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) 2025 SUSE LINUX GmbH, Nuernberg, Germany.
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%global packname missingHE
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.5.0
Release: 0
Summary: Missing Outcome Data in Health Economic Evaluation
Group: Development/Libraries/Other
License: GPL-2
URL: http://cran.r-project.org/web/packages/%{packname}
Source: missingHE_1.5.0.tar.gz
Requires: R-base
Requires: R-mcmcplots
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Requires: R-BCEA
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Requires: R-bayesplot
Requires: R-R2jags
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Requires: R-ggridges
Requires: R-glue
Requires: R-posterior
Requires: R-reshape2
Requires: R-rlang
Requires: R-tibble
Requires: R-tidyr
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Requires: R-vctrs
Requires: R-withr
Requires: R-ggrepel
Requires: R-ggsci
Requires: R-cowplot
Requires: R-ggsignif
Requires: R-polynom
Requires: R-rstatix
Requires: R-magrittr
Requires: R-stringr
Requires: R-checkmate
Requires: R-matrixStats
Requires: R-sfsmisc
Requires: R-colorspace
Requires: R-denstrip
Requires: R-abind
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Requires: R-cpp11
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# %%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
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# BuildRequires: texinfo
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Suggests: R-knitr
Suggests: R-rmarkdown
%description
Contains a suite of functions for health economic evaluations with
missing outcome data. The package can fit different types of
statistical models under a fully Bayesian approach using the software
'JAGS' (which should be installed locally and which is loaded in
'missingHE' via the 'R' package 'R2jags'). Three classes of models can
be fitted under a variety of missing data assumptions: selection
models, pattern mixture models and hurdle models. In addition to model
fitting, 'missingHE' provides a set of specialised functions to assess
model convergence and fit, and to summarise the statistical and
economic results using different types of measures and graphs. The
methods implemented are described in Mason (2018)
<doi:10.1002/hec.3793>, Molenberghs (2000)
<doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019)
<doi:10.1002/sim.8045>.
%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}
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
