%global __brp_check_rpaths %{nil} %global packname seedCCA %global packver 3.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 3.1 Release: 1%{?dist}%{?buildtag} Summary: Seeded Canonical Correlation Analysis License: GPL (>= 2.0) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 2.10.0 Requires: R-core >= 2.10.0 BuildArch: noarch BuildRequires: R-CRAN-CCA BuildRequires: R-CRAN-corpcor BuildRequires: R-stats BuildRequires: R-graphics Requires: R-CRAN-CCA Requires: R-CRAN-corpcor Requires: R-stats Requires: R-graphics %description Functions for dimension reduction through the seeded canonical correlation analysis are provided. A classical canonical correlation analysis (CCA) is one of useful statistical methods in multivariate data analysis, but it is limited in use due to the matrix inversion for large p small n data. To overcome this, a seeded CCA has been proposed in Im, Gang and Yoo (2015) doi{10.1002/cem.2691}. The seeded CCA is a two-step procedure. The sets of variables are initially reduced by successively projecting cov(X,Y) or cov(Y,X) onto cov(X) and cov(Y), respectively, without loss of information on canonical correlation analysis, following Cook, Li and Chiaromonte (2007) doi{10.1093/biomet/asm038} and Lee and Yoo (2014) doi{10.1111/anzs.12057}. Then, the canonical correlation is finalized with the initially-reduced two sets of variables. %prep %setup -q -c -n %{packname} # fix end of executable files find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; # prevent binary stripping [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true [ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \ sed -i 's@-g0@@g' {} \; || true # don't allow local prefix in executable scripts find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \; %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 # remove buildroot from installed files find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}