%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  mtrank
%global packver   0.2-0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.2.0
Release:          1%{?dist}%{?buildtag}
Summary:          Ranking using Probabilistic Models and Treatment Choice Criteria

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


BuildRequires:    R-devel >= 4.0.0
Requires:         R-core >= 4.0.0
BuildArch:        noarch
BuildRequires:    R-CRAN-meta >= 8.1.0
BuildRequires:    R-CRAN-netmeta >= 3.2.0
BuildRequires:    R-CRAN-PlackettLuce 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-magrittr 
BuildRequires:    R-CRAN-ggplot2 
Requires:         R-CRAN-meta >= 8.1.0
Requires:         R-CRAN-netmeta >= 3.2.0
Requires:         R-CRAN-PlackettLuce 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-magrittr 
Requires:         R-CRAN-ggplot2 

%description
Estimation of treatment hierarchies in network meta-analysis using a novel
frequentist approach based on treatment choice criteria (TCC) and
probabilistic ranking models, as described by Evrenoglou et al. (2024)
<DOI:10.48550/arXiv.2406.10612>. The TCC are defined using a rule based on
the smallest worthwhile difference (SWD). Using the defined TCC, the NMA
estimates (i.e., treatment effects and standard errors) are first
transformed into treatment preferences, indicating either a treatment
preference (e.g., treatment A > treatment B) or a tie (treatment A =
treatment B). These treatment preferences are then synthesized using a
probabilistic ranking model, which estimates the latent ability parameter
of each treatment and produces the final treatment hierarchy. This
parameter represents each treatments ability to outperform all the other
competing treatments in the network. Here the terms ability to outperform
indicates the propensity of each treatment to yield clinically important
and beneficial effects when compared to all the other treatments in the
network. Consequently, larger ability estimates indicate higher positions
in the ranking list.

%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}