%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  smacofx
%global packver   1.6-1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.6.1
Release:          1%{?dist}%{?buildtag}
Summary:          Flexible Multidimensional Scaling and 'smacof' Extensions

License:          GPL-2 | GPL-3
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 3.5.0
Requires:         R-core >= 3.5.0
BuildArch:        noarch
BuildRequires:    R-CRAN-smacof >= 1.10.4
BuildRequires:    R-CRAN-MASS 
BuildRequires:    R-CRAN-minqa 
BuildRequires:    R-CRAN-plotrix 
BuildRequires:    R-CRAN-ProjectionBasedClustering 
BuildRequires:    R-CRAN-weights 
BuildRequires:    R-CRAN-vegan 
Requires:         R-CRAN-smacof >= 1.10.4
Requires:         R-CRAN-MASS 
Requires:         R-CRAN-minqa 
Requires:         R-CRAN-plotrix 
Requires:         R-CRAN-ProjectionBasedClustering 
Requires:         R-CRAN-weights 
Requires:         R-CRAN-vegan 

%description
Flexible multidimensional scaling (MDS) methods and extensions to the
package 'smacof'. This package contains various functions, wrappers,
methods and classes for fitting, plotting and displaying a large number of
different flexible MDS models (some as of yet unpublished). These are:
Torgerson scaling (Torgerson, 1958, ISBN:978-0471879459) with powers,
Sammon mapping (Sammon, 1969, <doi:10.1109/T-C.1969.222678>) with ratio
and interval optimal scaling, Multiscale MDS (Ramsay, 1977,
<doi:10.1007/BF02294052>) with ratio and interval optimal scaling,
S-stress MDS (ALSCAL; Takane, Young & De Leeuw, 1977,
<doi:10.1007/BF02293745>) with ratio and interval optimal scaling, elastic
scaling (McGee, 1966, <doi:10.1111/j.2044-8317.1966.tb00367.x>) with ratio
and interval optimal scaling, r-stress MDS (De Leeuw, Groenen & Mair,
2016, <https://rpubs.com/deleeuw/142619>) with ratio, interval and
non-metric optimal scaling, power-stress MDS (POST-MDS; Buja & Swayne,
2002 <doi:10.1007/s00357-001-0031-0>) with ratio and interval optimal
scaling, restricted power-stress (Rusch, Mair & Hornik, 2021,
<doi:10.1080/10618600.2020.1869027>) with ratio and interval optimal
scaling, approximate power-stress with ratio optimal scaling (Rusch, Mair
& Hornik, 2021, <doi:10.1080/10618600.2020.1869027>), Box-Cox MDS (Chen &
Buja, 2013, <https://jmlr.org/papers/v14/chen13a.html>), local MDS (Chen &
Buja, 2009, <doi:10.1198/jasa.2009.0111>), curvilinear component analysis
(Demartines & Herault, 1997, <doi:10.1109/72.554199>) and curvilinear
distance analysis (Lee, Lendasse & Verleysen, 2004,
<doi:10.1016/j.neucom.2004.01.007>). There also are experimental models
(e.g., sparsified MDS and sparsified POST-MDS). Some functions are
suitably flexible to allow any other sensible combination of explicit
power transformations for weights, distances and input proximities with
implicit ratio, interval or non-metric optimal scaling of the input
proximities. Most functions use a Majorization-Minimization algorithm.
Currently the methods are only available for one-mode data (symmetric
dissimilarity matrices).

%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}