File R-REndo.spec of Package R-REndo
# Automatically generated by CRAN2OBS
#
# Spec file for package REndo
# This file is auto-generated using information in the package source,
# esp. Description and Summary. Improvements in that area should be
# discussed with upstream.
#
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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%global packname REndo
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 2.4.10
Release: 0
Summary: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
Group: Development/Libraries/Other
License: GPL-3
URL: http://cran.r-project.org/web/packages/%{packname}
Source: REndo_2.4.10.tar.gz
Requires: R-base
Requires: R-Formula
Requires: R-optimx
Requires: R-mvtnorm
Requires: R-AER
Requires: R-lme4
Requires: R-data.table
Requires: R-corpcor
Requires: R-Rcpp
Requires: R-lmtest
Requires: R-RcppEigen
Requires: R-car
Requires: R-sandwich
Requires: R-zoo
Requires: R-minqa
Requires: R-nloptr
Requires: R-reformulas
Requires: R-numDeriv
Requires: R-pracma
Requires: R-carData
Requires: R-abind
Requires: R-pbkrtest
Requires: R-quantreg
Requires: R-scales
Requires: R-Rdpack
Requires: R-broom
Requires: R-dplyr
Requires: R-doBy
Requires: R-SparseM
Requires: R-MatrixModels
Requires: R-rbibutils
Requires: R-cli
Requires: R-farver
Requires: R-glue
Requires: R-labeling
Requires: R-lifecycle
Requires: R-R6
Requires: R-RColorBrewer
Requires: R-rlang
Requires: R-viridisLite
Requires: R-backports
Requires: R-generics
Requires: R-purrr
Requires: R-stringr
Requires: R-tibble
Requires: R-tidyr
Requires: R-cowplot
Requires: R-Deriv
Requires: R-ggplot2
Requires: R-modelr
Requires: R-microbenchmark
Requires: R-magrittr
Requires: R-pillar
Requires: R-tidyselect
Requires: R-vctrs
Requires: R-gtable
Requires: R-isoband
Requires: R-S7
Requires: R-withr
Requires: R-utf8
Requires: R-stringi
Requires: R-pkgconfig
Requires: R-cpp11
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
# # Three others commonly needed
# BuildRequires: tex(ae.sty)
# BuildRequires: tex(fancyvrb.sty)
# BuildRequires: tex(inconsolata.sty)
# BuildRequires: tex(natbib.sty)
# %else
# BuildRequires: texlive
# %endif
# BuildRequires: texinfo
BuildRequires: fdupes
BuildRequires: R-base
BuildRequires: R-Formula
BuildRequires: R-optimx
BuildRequires: R-mvtnorm
BuildRequires: R-AER
BuildRequires: R-lme4
BuildRequires: R-data.table
BuildRequires: R-corpcor
BuildRequires: R-Rcpp-devel
BuildRequires: R-lmtest
BuildRequires: R-RcppEigen-devel
BuildRequires: R-car
BuildRequires: R-sandwich
BuildRequires: R-zoo
BuildRequires: R-minqa
BuildRequires: R-nloptr
BuildRequires: R-reformulas
BuildRequires: R-numDeriv
BuildRequires: R-pracma
BuildRequires: R-carData
BuildRequires: R-abind
BuildRequires: R-pbkrtest
BuildRequires: R-quantreg
BuildRequires: R-scales
BuildRequires: R-Rdpack
BuildRequires: R-broom
BuildRequires: R-dplyr
BuildRequires: R-doBy
BuildRequires: R-SparseM
BuildRequires: R-MatrixModels
BuildRequires: R-rbibutils
BuildRequires: R-cli
BuildRequires: R-farver
BuildRequires: R-glue
BuildRequires: R-labeling
BuildRequires: R-lifecycle
BuildRequires: R-R6
BuildRequires: R-RColorBrewer
BuildRequires: R-rlang
BuildRequires: R-viridisLite
BuildRequires: R-backports
BuildRequires: R-generics
BuildRequires: R-purrr
BuildRequires: R-stringr
BuildRequires: R-tibble
BuildRequires: R-tidyr
BuildRequires: R-cowplot
BuildRequires: R-Deriv
BuildRequires: R-ggplot2
BuildRequires: R-modelr
BuildRequires: R-microbenchmark
BuildRequires: R-magrittr
BuildRequires: R-pillar
BuildRequires: R-tidyselect
BuildRequires: R-vctrs
BuildRequires: R-gtable
BuildRequires: R-isoband
BuildRequires: R-S7
BuildRequires: R-withr
BuildRequires: R-utf8
BuildRequires: R-stringi
BuildRequires: R-pkgconfig
BuildRequires: R-cpp11-devel
BuildRequires: gcc gcc-c++ gcc-fortran
Suggests: R-testthat
Suggests: R-covr
Suggests: R-R.rsp
%description
Fits linear models with endogenous regressor using latent instrumental
variable approaches. The methods included in the package are Lewbel's
(1997) <doi:10.2307/2171884> higher moments approach as well as
Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroscedasticity
approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint
estimation method that uses Gaussian copula and Kim and Frees's (2007)
<doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment
approach that deals with endogeneity in a multilevel setting. These are
statistical techniques to address the endogeneity problem where no
external instrumental variables are needed. See the publication related
to this package in the Journal of Statistical Software for more
details: <doi:10.18637/jss.v107.i03>. Note that with version 2.0.0
sweeping changes were introduced which greatly improve functionality
and usability but break backwards compatibility.
%prep
%setup -q -c -n %{packname}
# the next line is needed, because we build without --clean in between two packages
rm -rf ~/.R
%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
%fdupes -s %{buildroot}%{rlibdir}
#%%check
#%%{_bindir}/R CMD check %%{packname}
%files
%dir %{rlibdir}/%{packname}
%{rlibdir}/%{packname}/CITATION
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/libs
%changelog
