%global __brp_check_rpaths %{nil}
%global packname  OrdMonReg
%global packver   1.0.3
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.3
Release:          3%{?dist}%{?buildtag}
Summary:          Compute least squares estimates of one bounded or two orderedisotonic regression curves

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


BuildRequires:    R-devel
Requires:         R-core
BuildArch:        noarch

%description
We consider the problem of estimating two isotonic regression curves g1*
and g2* under the constraint that they are ordered, i.e. g1* <= g2*. Given
two sets of n data points y_1, ..., y_n and z_1, ..., z_n that are
observed at (the same) deterministic design points x_1, ..., x_n, the
estimates are obtained by minimizing the Least Squares criterion L(a, b) =
sum_{i=1}^n (y_i - a_i)^2 w1(x_i) + sum_{i=1}^n (z_i - b_i)^2 w2(x_i) over
the class of pairs of vectors (a, b) such that a and b are isotonic and
a_i <= b_i for all i = 1, ..., n. We offer two different approaches to
compute the estimates: a projected subgradient algorithm where the
projection is calculated using a PAVA as well as Dykstra's cyclical
projection algorithm.

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


%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}