%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  pdynmc
%global packver   0.9.10
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.9.10
Release:          1%{?dist}%{?buildtag}
Summary:          Moment Condition Based Estimation of Linear Dynamic Panel Data Models

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


BuildRequires:    R-devel >= 3.6.0
Requires:         R-core >= 3.6.0
BuildArch:        noarch
BuildRequires:    R-CRAN-MASS >= 7.3.51.4
BuildRequires:    R-methods >= 3.6.2
BuildRequires:    R-stats >= 3.6.0
BuildRequires:    R-CRAN-optimx >= 2018.07.10
BuildRequires:    R-CRAN-Matrix >= 1.2.17
BuildRequires:    R-CRAN-data.table >= 1.12.2
BuildRequires:    R-CRAN-Rdpack >= 0.11
Requires:         R-CRAN-MASS >= 7.3.51.4
Requires:         R-methods >= 3.6.2
Requires:         R-stats >= 3.6.0
Requires:         R-CRAN-optimx >= 2018.07.10
Requires:         R-CRAN-Matrix >= 1.2.17
Requires:         R-CRAN-data.table >= 1.12.2
Requires:         R-CRAN-Rdpack >= 0.11

%description
Linear dynamic panel data modeling based on linear and nonlinear moment
conditions as proposed by Holtz-Eakin, Newey, and Rosen (1988)
<doi:10.2307/1913103>, Ahn and Schmidt (1995)
<doi:10.1016/0304-4076(94)01641-C>, and Arellano and Bover (1995)
<doi:10.1016/0304-4076(94)01642-D>. Estimation of the model parameters
relies on the Generalized Method of Moments (GMM), numerical optimization
(when nonlinear moment conditions are employed) and the computation of
closed form solutions (when estimation is based on linear moment
conditions). One-step, two-step and iterated estimation is available. For
inference and specification testing, Windmeijer (2005)
<doi:10.1016/j.jeconom.2004.02.005> and doubly corrected standard errors
(Hwang, Kang, Lee, 2021 <doi:10.1016/j.jeconom.2020.09.010>) are
available. Additionally, serial correlation tests, tests for
overidentification, and Wald tests are provided. Functions for visualizing
panel data structures and modeling results obtained from GMM estimation
are also available. The plot methods include functions to plot unbalanced
panel structure, coefficient ranges and coefficient paths across GMM
iterations (the latter is implemented according to the plot shown in
Hansen and Lee, 2021 <doi:10.3982/ECTA16274>). For a more detailed
description of the functionality, please see Fritsch, Pua, Schnurbus
(2021) <doi:10.32614/RJ-2021-035>.

%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}