File R-dosearch.spec of Package R-dosearch

# Automatically generated by CRAN2OBS
# 
# Spec file for package dosearch 
# 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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%global packname  dosearch 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.0.12 
Release:        0 
Summary:        Causal Effect Identification from Multiple Incomplete Data Sources 
Group:          Development/Libraries/Other 
License:        GPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         dosearch_1.0.12.tar.gz 
Requires:       R-base 
Requires:	R-Rcpp
 
# %%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-Rcpp-devel
BuildRequires:  gcc gcc-c++ gcc-fortran
 
Suggests:	R-covr
Suggests:	R-dagitty
Suggests:	R-DiagrammeR
Suggests:	R-DOT
Suggests:	R-igraph
Suggests:	R-knitr
Suggests:	R-mockr
Suggests:	R-rmarkdown
Suggests:	R-testthat
%description 
Identification of causal effects from arbitrary observational and 
experimental probability distributions via do-calculus and standard 
probability manipulations using a search-based algorithm by Tikka, 
Hyttinen and Karvanen (2021) <doi:10.18637/jss.v099.i05>. Allows for 
the presence of mechanisms related to selection bias (Bareinboim and 
Tian, 2015) <doi:10.1609/aaai.v29i1.9679>, transportability (Bareinboim 
and Pearl, 2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, 
missing data (Mohan, Pearl, and Tian, 2013) 
<http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary 
combinations of these. Also supports identification in the presence of 
context-specific independence (CSI) relations through labeled directed 
acyclic graphs (LDAG). For details on CSIs see (Corander et al., 2019) 
<doi:10.1016/j.apal.2019.04.004>. 
 
%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