%global __brp_check_rpaths %{nil}
%global packname  fuzzyforest
%global packver   1.0.8
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.8
Release:          3%{?dist}%{?buildtag}
Summary:          Fuzzy Forests

License:          GPL-3
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 3.2.1
Requires:         R-core >= 3.2.1
BuildArch:        noarch
BuildRequires:    R-CRAN-randomForest 
BuildRequires:    R-CRAN-foreach 
BuildRequires:    R-CRAN-doParallel 
BuildRequires:    R-parallel 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-mvtnorm 
Requires:         R-CRAN-randomForest 
Requires:         R-CRAN-foreach 
Requires:         R-CRAN-doParallel 
Requires:         R-parallel 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-mvtnorm 

%description
Fuzzy forests, a new algorithm based on random forests, is designed to
reduce the bias seen in random forest feature selection caused by the
presence of correlated features.  Fuzzy forests uses recursive feature
elimination random forests to select features from separate blocks of
correlated features where the correlation within each block of features is
high and the correlation between blocks of features is low. One final
random forest is fit using the surviving features. This package fits
random forests using the 'randomForest' package and allows for easy use of
'WGCNA' to split features into distinct blocks. See D. Conn, Ngun, T., C.
Ramirez, and G. Li (2019) <doi:10.18637/jss.v091.i09> for further details.

%prep
%setup -q -c -n %{packname}

find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;

%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

%files
%{rlibdir}/%{packname}