%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  sglg
%global packver   0.2.2
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.2.2
Release:          1%{?dist}%{?buildtag}
Summary:          Fitting Semi-Parametric Generalized log-Gamma Regression Models

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


BuildRequires:    R-devel >= 3.1.0
Requires:         R-core >= 3.1.0
BuildArch:        noarch
BuildRequires:    R-CRAN-Formula 
BuildRequires:    R-CRAN-survival 
BuildRequires:    R-methods 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-AdequacyModel 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-plotly 
BuildRequires:    R-CRAN-moments 
BuildRequires:    R-CRAN-gridExtra 
BuildRequires:    R-CRAN-pracma 
BuildRequires:    R-CRAN-progress 
BuildRequires:    R-CRAN-Rcpp 
BuildRequires:    R-CRAN-plot3D 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-TeachingSampling 
Requires:         R-CRAN-Formula 
Requires:         R-CRAN-survival 
Requires:         R-methods 
Requires:         R-stats 
Requires:         R-CRAN-AdequacyModel 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-plotly 
Requires:         R-CRAN-moments 
Requires:         R-CRAN-gridExtra 
Requires:         R-CRAN-pracma 
Requires:         R-CRAN-progress 
Requires:         R-CRAN-Rcpp 
Requires:         R-CRAN-plot3D 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-TeachingSampling 

%description
Set of tools to fit a linear multiple or semi-parametric regression models
with the possibility of non-informative random right-censoring. Under this
setup, the localization parameter of the response variable distribution is
modeled by using linear multiple regression or semi-parametric functions,
whose non-parametric components may be approximated by natural cubic
spline or P-splines. The supported distribution for the model error is a
generalized log-gamma distribution which includes the generalized extreme
value and standard normal distributions as important special cases.
Inference is based on penalized likelihood and bootstrap methods. Also,
some numerical and graphical devices for diagnostic of the fitted models
are offered.

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

# fix end of executable files
find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
# prevent binary stripping
[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
  sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true
[ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \
  sed -i 's@-g0@@g' {} \; || true
# don't allow local prefix in executable scripts
find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \;

%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
# remove buildroot from installed files
find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;

%files
%{rlibdir}/%{packname}