%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  gpcihybridII
%global packver   0.1.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.1.0
Release:          1%{?dist}%{?buildtag}
Summary:          Generalized Process Capability Indices under Hybrid Type-II Censoring

License:          MIT + file LICENSE
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-stats 
BuildRequires:    R-CRAN-numDeriv 
BuildRequires:    R-CRAN-MleCensoR 
BuildRequires:    R-CRAN-gofPHCS 
Requires:         R-stats 
Requires:         R-CRAN-numDeriv 
Requires:         R-CRAN-MleCensoR 
Requires:         R-CRAN-gofPHCS 

%description
A comprehensive, generalized framework for computing, estimating, and
validating Generalized Process Capability Indices (GPCIs) under Hybrid
Type-II censored lifetime data. Supports user-supplied probability density
or mass functions (PDF/PMF), cumulative distribution functions (CDF),
survival functions (SF), and quantile functions. Parameter estimation
under Hybrid Type-II censoring is performed via Maximum Likelihood
Estimation using the 'MleCensoR' package (Childs et al., 2003
<doi:10.1007/BF02517803>; Balakrishnan & Kundu, 2013
<doi:10.1002/nav.21545>). Computes classical and non-normal capability
indices, including Cpy (Maiti et al., 2010
<doi:10.1080/16843703.2010.11673233>), Spmk (Dey & Saha, 2019
<doi:10.1007/s41872-019-00081-4>), CpTk (Saha et al., 2019), Cpc (Saha et
al., 2022 <doi:10.1080/02664763.2021.1971632>), CNpmc (Alotaibi et al.,
2022 <doi:10.1155/2022/3135264>), CNpmkc (Saha et al., 2024
<doi:10.1142/S021853932450013X>), CNpk (Saha et al., 2018
<doi:10.1080/21681015.2018.1437793>), and Vannman's Cp(u,v) family.
Evaluates parametric and non-parametric bootstrap confidence intervals at
90 percent, 95 percent, and 99 percent levels of significance using
percentile, normal, basic, BCa, BCp, and studentized bootstrap methods.
Computes standard errors, mean squared errors, and coverage probabilities
for both distribution parameters and capability indices. Integrates
goodness-of-fit testing for Hybrid Type-II censored data via the 'gofPHCS'
package.

%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}