%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  odr
%global packver   1.5.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.5.0
Release:          1%{?dist}%{?buildtag}
Summary:          Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects

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


BuildRequires:    R-devel >= 3.3.0
Requires:         R-core >= 3.3.0
BuildArch:        noarch
BuildRequires:    R-stats >= 3.0.0
BuildRequires:    R-graphics >= 3.0.0
BuildRequires:    R-base >= 3.0.0
Requires:         R-stats >= 3.0.0
Requires:         R-graphics >= 3.0.0
Requires:         R-base >= 3.0.0

%description
Calculate the optimal sample size allocation that uses the minimum
resources to achieve targeted statistical power in experiments. Perform
power analyses with and without accommodating costs and budget. The
designs cover single-level and multilevel experiments detecting main,
mediation, and moderation effects (and some combinations). The references
for the proposed methods include: (1) Shen, Z., & Kelcey, B. (2020).
Optimal sample allocation under unequal costs in cluster-randomized
trials. Journal of Educational and Behavioral Statistics, 45(4): 446-474.
<doi:10.3102/1076998620912418>. (2) Shen, Z., & Kelcey, B. (2022b).
Optimal sample allocation for three-level multisite cluster-randomized
trials. Journal of Research on Educational Effectiveness, 15 (1), 130-150.
<doi:10.1080/19345747.2021.1953200>. (3) Shen, Z., & Kelcey, B. (2022a).
Optimal sample allocation in multisite randomized trials. The Journal of
Experimental Education, 90(3), 693-711.
<doi:10.1080/00220973.2020.1830361>. (4) Shen, Z., Leite, W., Zhang, H.,
Quan, J., & Kuang, H. (2025). Using ant colony optimization to identify
optimal sample allocations in cluster-randomized trials. The Journal of
Experimental Education, 93(1), 167-185.
<doi:10.1080/00220973.2024.2306392>. (5) Shen, Z., Li, W., & Leite, W. (in
press). Statistical power and optimal design for randomized controlled
trials investigating mediation effects. Psychological Methods.
<doi:10.1037/met0000698>. (6) Champely, S. (2020). pwr: Basic functions
for power analysis (Version 1.3-0) [Software]. Available from
<https://CRAN.R-project.org/package=pwr>.

%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}