File R-bikm1.spec of Package R-bikm1

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# Spec file for package bikm1 
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%global packname  bikm1 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.1.0 
Release:        0 
Summary:        Co-Clustering Adjusted Rand Index and Bikm1 Procedure for Contingency and Binary Data-Sets 
Group:          Development/Libraries/Other 
License:        GPL-2 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         bikm1_1.1.0.tar.gz 
Requires:       R-base 
Requires:	R-gtools
Requires:	R-ade4
Requires:	R-pracma
Requires:	R-ggplot2
Requires:	R-reshape2
Requires:	R-lpSolve
Requires:	R-pixmap
Requires:	R-sp
Requires:	R-Rcpp
Requires:	R-RcppArmadillo
Requires:	R-cli
Requires:	R-glue
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-lifecycle
Requires:	R-rlang
Requires:	R-scales
Requires:	R-tibble
Requires:	R-vctrs
Requires:	R-withr
Requires:	R-plyr
Requires:	R-stringr
Requires:	R-farver
Requires:	R-labeling
Requires:	R-R6
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-magrittr
Requires:	R-stringi
Requires:	R-pillar
Requires:	R-pkgconfig
Requires:	R-utf8
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
# # Three others commonly needed 
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# BuildRequires:  texinfo 
BuildRequires:  fdupes 
BuildRequires:  R-base 
BuildRequires: 	R-gtools
BuildRequires: 	R-ade4
BuildRequires: 	R-pracma
BuildRequires: 	R-ggplot2
BuildRequires: 	R-reshape2
BuildRequires: 	R-lpSolve
BuildRequires: 	R-pixmap
BuildRequires: 	R-sp
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-RcppArmadillo-devel
BuildRequires: 	R-cli
BuildRequires: 	R-glue
BuildRequires: 	R-gtable
BuildRequires: 	R-isoband
BuildRequires: 	R-lifecycle
BuildRequires: 	R-rlang
BuildRequires: 	R-scales
BuildRequires: 	R-tibble
BuildRequires: 	R-vctrs
BuildRequires: 	R-withr
BuildRequires: 	R-plyr
BuildRequires: 	R-stringr
BuildRequires: 	R-farver
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%description 
Co-clustering of the rows and columns of a contingency or binary 
matrix, or double binary matrices and model selection for the number of 
row and column clusters. Three models are considered: the Poisson 
latent block model for contingency matrix, the binary latent block 
model for binary matrix and a new model we develop: the multiple latent 
block model for double binary matrices. A new procedure named bikm1 is 
implemented to investigate more efficiently the grid of numbers of 
clusters. Then, the studied model selection criteria are the integrated 
completed likelihood (ICL) and the Bayesian integrated likelihood 
(BIC). Finally, the co-clustering adjusted Rand index (CARI) to measure 
agreement between co-clustering partitions is implemented. Robert 
Valerie, Vasseur Yann, Brault Vincent (2021) 
<doi:10.1007/s00357-020-09379-w>. 
 
%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
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog 
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