File R-nomogramFormula.spec of Package R-nomogramFormula

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# Spec file for package nomogramFormula 
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%global packname  nomogramFormula 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        1.2.0.0 
Release:        0 
Summary:        Calculate Total Points and Probabilities for Nomogram 
Group:          Development/Libraries/Other 
License:        GPL-3 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         nomogramFormula_1.2.0.0.tar.gz 
Requires:       R-base 
Requires:	R-rms
Requires:	R-do
Requires:	R-Hmisc
Requires:	R-data.table
Requires:	R-plyr
Requires:	R-tmcn
Requires:	R-tidyselect
Requires:	R-reshape2
Requires:	R-tidyr
Requires:	R-rvest
Requires:	R-xml2
Requires:	R-crayon
Requires:	R-httr
Requires:	R-usethis
Requires:	R-desc
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Requires:	R-stringr
Requires:	R-openxlsx
Requires:	R-ggplot2
Requires:	R-gtable
Requires:	R-gridExtra
Requires:	R-htmlTable
Requires:	R-viridisLite
Requires:	R-htmltools
Requires:	R-base64enc
Requires:	R-colorspace
Requires:	R-rmarkdown
Requires:	R-knitr
Requires:	R-Formula
Requires:	R-quantreg
Requires:	R-SparseM
Requires:	R-polspline
Requires:	R-multcomp
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Requires:	R-fastmap
Requires:	R-curl
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Requires:	R-openssl
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# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
# # Three others commonly needed 
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# BuildRequires:  tex(fancyvrb.sty) 
# BuildRequires:  tex(inconsolata.sty) 
# BuildRequires:  tex(natbib.sty) 
# %else 
# BuildRequires:  texlive 
# %endif 
# BuildRequires:  texinfo 
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%description 
A nomogram, which can be carried out in 'rms' package, provides a 
graphical explanation of a prediction process. However, it is not very 
easy to draw straight lines, read points and probabilities accurately. 
Even, it is hard for users to calculate total points and probabilities 
for all subjects. This package provides formula_rd() and formula_lp() 
functions to fit the formula of total points with raw data and linear 
predictors respectively by polynomial regression. Function points_cal() 
will help you calculate the total points. prob_cal() can be used to 
calculate the probabilities after lrm(), cph() or psm() regression. For 
more complex condition, interaction or restricted cubic spine, 
TotalPoints.rms() can be used. 
 
%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