%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  nlpsem
%global packver   1.0.0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.0
Release:          1%{?dist}%{?buildtag}
Summary:          Nonlinear Longitudinal Process in Structural Equation Modeling

License:          GPL (>= 3)
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-OpenMx >= 2.21.8
BuildRequires:    R-CRAN-rlang >= 0.4.0
BuildRequires:    R-CRAN-ggplot2 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-stringr 
BuildRequires:    R-CRAN-Matrix 
BuildRequires:    R-CRAN-nnet 
BuildRequires:    R-methods 
BuildRequires:    R-grDevices 
BuildRequires:    R-graphics 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
Requires:         R-CRAN-OpenMx >= 2.21.8
Requires:         R-CRAN-rlang >= 0.4.0
Requires:         R-CRAN-ggplot2 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-stringr 
Requires:         R-CRAN-Matrix 
Requires:         R-CRAN-nnet 
Requires:         R-methods 
Requires:         R-grDevices 
Requires:         R-graphics 
Requires:         R-stats 
Requires:         R-utils 

%description
Provides computational tools for nonlinear longitudinal models, in
particular the intrinsically nonlinear models, in four scenarios: (1)
univariate longitudinal processes with growth factors, with or without
covariates including time-invariant covariates (TICs) and time-varying
covariates (TVCs); (2) multivariate longitudinal processes that facilitate
the assessment of associations and directional relationships between
multiple longitudinal variables; (3) multiple-group models for scenarios
(1) and (2) to evaluate differences among manifested groups, and (4)
longitudinal mixture models for scenarios (1) and (2), with an assumption
that trajectories are from multiple latent classes. Data can also be
simulated from these models with the generating parameter values attached.
The methods implemented are introduced in Liu (2025)
<doi:10.3758/s13428-025-02596-4>.

%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}