File R-imprecise101.spec of Package R-imprecise101
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%global packname imprecise101
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 0.2.2.4
Release: 0
Summary: Introduction to Imprecise Probabilities
Group: Development/Libraries/Other
License: GPL-3
URL: http://cran.r-project.org/web/packages/%{packname}
Source: imprecise101_0.2.2.4.tar.gz
Requires: R-base
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Requires: R-pscl
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# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
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%description
An imprecise inference presented in the study of Walley (1996)
<doi:10.1111/j.2517-6161.1996.tb02065.x> is one of the statistical
reasoning methods when prior information is unavailable. Functions and
utils needed for illustrating this inferential paradigm are implemented
for classroom teaching and further comprehensive research. Two
imprecise models are demonstrated using multinomial data and 2x2
contingency table data. The concepts of prior ignorance and imprecision
are discussed in lower and upper probabilities. Representation
invariance principle, hypothesis testing, decision-making, and further
generalization are also illustrated.
%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}
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
