%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  MagmaClustR
%global packver   1.2.1
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.2.1
Release:          1%{?dist}%{?buildtag}
Summary:          Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean

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


BuildRequires:    R-devel >= 2.10
Requires:         R-core >= 2.10
BuildRequires:    R-CRAN-broom 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-methods 
BuildRequires:    R-CRAN-mvtnorm 
BuildRequires:    R-CRAN-plyr 
BuildRequires:    R-CRAN-purrr 
BuildRequires:    R-CRAN-Rcpp 
BuildRequires:    R-CRAN-rlang 
BuildRequires:    R-stats 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-tidyselect 
Requires:         R-CRAN-broom 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-magrittr 
Requires:         R-methods 
Requires:         R-CRAN-mvtnorm 
Requires:         R-CRAN-plyr 
Requires:         R-CRAN-purrr 
Requires:         R-CRAN-Rcpp 
Requires:         R-CRAN-rlang 
Requires:         R-stats 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-tidyselect 

%description
An implementation for the multi-task Gaussian processes with common mean
framework. Two main algorithms, called 'Magma' and 'MagmaClust', are
available to perform predictions for supervised learning problems, in
particular for time series or any functional/continuous data applications.
The corresponding articles has been respectively proposed by Arthur Leroy,
Pierre Latouche, Benjamin Guedj and Servane Gey (2022)
<doi:10.1007/s10994-022-06172-1>, and Arthur Leroy, Pierre Latouche,
Benjamin Guedj and Servane Gey (2023)
<https://jmlr.org/papers/v24/20-1321.html>. Theses approaches leverage the
learning of cluster-specific mean processes, which are common across
similar tasks, to provide enhanced prediction performances (even far from
data) at a linear computational cost (in the number of tasks).
'MagmaClust' is a generalisation of 'Magma' where the tasks are
simultaneously clustered into groups, each being associated to a specific
mean process.  User-oriented functions in the package are decomposed into
training, prediction and plotting functions. Some basic features (classic
kernels, training, prediction) of standard Gaussian processes are also
implemented.

%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}