File R-multinomialLogitMix.spec of Package R-multinomialLogitMix
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# Spec file for package multinomialLogitMix
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# esp. Description and Summary. Improvements in that area should be
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%global packname multinomialLogitMix
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.1
Release: 0
Summary: Clustering Multinomial Count Data under the Presence of Covariates
Group: Development/Libraries/Other
License: GPL-2
URL: http://cran.r-project.org/web/packages/%{packname}
Source: multinomialLogitMix_1.1.tar.gz
Requires: R-base
Requires: R-Rcpp
Requires: R-doParallel
Requires: R-foreach
Requires: R-label.switching
Requires: R-ggplot2
Requires: R-coda
Requires: R-matrixStats
Requires: R-mvtnorm
Requires: R-RColorBrewer
Requires: R-RcppArmadillo
Requires: R-iterators
Requires: R-cli
Requires: R-gtable
Requires: R-isoband
Requires: R-lifecycle
Requires: R-rlang
Requires: R-S7
Requires: R-scales
Requires: R-vctrs
Requires: R-withr
Requires: R-combinat
Requires: R-lpSolve
Requires: R-glue
Requires: R-cpp11
Requires: R-farver
Requires: R-labeling
Requires: R-R6
Requires: R-viridisLite
# %%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
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# %endif
# BuildRequires: texinfo
BuildRequires: fdupes
BuildRequires: R-base
BuildRequires: R-Rcpp-devel
BuildRequires: R-doParallel
BuildRequires: R-foreach
BuildRequires: R-label.switching
BuildRequires: R-ggplot2
BuildRequires: R-coda
BuildRequires: R-matrixStats
BuildRequires: R-mvtnorm
BuildRequires: R-RColorBrewer
BuildRequires: R-RcppArmadillo-devel
BuildRequires: R-iterators
BuildRequires: R-cli
BuildRequires: R-gtable
BuildRequires: R-isoband
BuildRequires: R-lifecycle
BuildRequires: R-rlang
BuildRequires: R-S7
BuildRequires: R-scales
BuildRequires: R-vctrs
BuildRequires: R-withr
BuildRequires: R-combinat
BuildRequires: R-lpSolve
BuildRequires: R-glue
BuildRequires: R-cpp11-devel
BuildRequires: R-farver
BuildRequires: R-labeling
BuildRequires: R-R6
BuildRequires: R-viridisLite
BuildRequires: gcc gcc-c++ gcc-fortran
%description
Methods for model-based clustering of multinomial counts under the
presence of covariates using mixtures of multinomial logit models, as
implemented in Papastamoulis (2023) <DOI:10.1007/s11634-023-00547-5>.
These models are estimated under a frequentist as well as a Bayesian
setup using the Expectation-Maximization algorithm and Markov chain
Monte Carlo sampling (MCMC), respectively. The (unknown) number of
clusters is selected according to the Integrated Completed Likelihood
criterion (for the frequentist model), and estimating the number of
non-empty components using overfitting mixture models after imposing
suitable sparse prior assumptions on the mixing proportions (in the
Bayesian case), see Rousseau and Mengersen (2011)
<DOI:10.1111/j.1467-9868.2011.00781.x>. In the latter case, various
MCMC chains run in parallel and are allowed to switch states. The final
MCMC output is suitably post-processed in order to undo label switching
using the Equivalence Classes Representatives (ECR) algorithm, as
described in Papastamoulis (2016) <DOI:10.18637/jss.v069.c01>.
%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
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
%changelog
