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R-basicdrm
R-basicdrm.spec
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File R-basicdrm.spec of Package R-basicdrm
# Automatically generated by CRAN2OBS # # Spec file for package basicdrm # This file is auto-generated using information in the package source, # esp. Description and Summary. Improvements in that area should be # discussed with upstream. # # Copyright (c) 2024 SUSE LINUX GmbH, Nuernberg, Germany. # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # # Please submit bugfixes or comments via http://bugs.opensuse.org/ # %global packname basicdrm %global rlibdir %{_libdir}/R/library Name: R-%{packname} Version: 0.3.0 Release: 0 Summary: Fit Hill Dose Response Models Group: Development/Libraries/Other License: GPL (>= 3) URL: http://cran.r-project.org/web/packages/%{packname} Source: basicdrm_0.3.0.tar.gz Requires: R-base # %%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 %description Evaluate, fit, and analyze Hill dose response models (Goutelle et al., 2008 <doi:10.1111/j.1472-8206.2008.00633.x>), also sometimes referred to as four-parameter log-logistic models. Includes tools to invert Hill models, select models based on the Akaike information criterion (Akaike, 1974 <doi:10.1109/TAC.1974.1100705>) or Bayesian information criterion (Schwarz, 1978 <https://www.jstor.org/stable/2958889>), and construct bootstrapped confidence intervals both on the Hill model parameters and values derived from the Hill model parameters. %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 %doc %{rlibdir}/%{packname}/help %doc %{rlibdir}/%{packname}/html %changelog
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