%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname spANOVA %global packver 0.99.4 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.99.4 Release: 1%{?dist}%{?buildtag} Summary: Analysis of Field Trials with Geostatistics & Spatial AR Models License: GPL-3 URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 2.10 Requires: R-core >= 2.10 BuildArch: noarch BuildRequires: R-stats BuildRequires: R-utils BuildRequires: R-graphics BuildRequires: R-CRAN-geoR BuildRequires: R-CRAN-shiny BuildRequires: R-CRAN-MASS BuildRequires: R-CRAN-Matrix BuildRequires: R-CRAN-ScottKnott BuildRequires: R-CRAN-car BuildRequires: R-CRAN-gtools BuildRequires: R-CRAN-multcomp BuildRequires: R-CRAN-multcompView BuildRequires: R-CRAN-mvtnorm BuildRequires: R-CRAN-DT BuildRequires: R-CRAN-shinyBS BuildRequires: R-CRAN-xtable BuildRequires: R-CRAN-shinythemes BuildRequires: R-CRAN-rmarkdown BuildRequires: R-CRAN-knitr BuildRequires: R-CRAN-spdep BuildRequires: R-CRAN-ape BuildRequires: R-CRAN-spatialreg BuildRequires: R-CRAN-shinycssloaders Requires: R-stats Requires: R-utils Requires: R-graphics Requires: R-CRAN-geoR Requires: R-CRAN-shiny Requires: R-CRAN-MASS Requires: R-CRAN-Matrix Requires: R-CRAN-ScottKnott Requires: R-CRAN-car Requires: R-CRAN-gtools Requires: R-CRAN-multcomp Requires: R-CRAN-multcompView Requires: R-CRAN-mvtnorm Requires: R-CRAN-DT Requires: R-CRAN-shinyBS Requires: R-CRAN-xtable Requires: R-CRAN-shinythemes Requires: R-CRAN-rmarkdown Requires: R-CRAN-knitr Requires: R-CRAN-spdep Requires: R-CRAN-ape Requires: R-CRAN-spatialreg Requires: R-CRAN-shinycssloaders %description Perform analysis of variance when the experimental units are spatially correlated. There are two methods to deal with spatial dependence: Spatial autoregressive models (see Rossoni, D. F., & Lima, R. R. (2019) ) and geostatistics (see Pontes, J. M., & Oliveira, M. S. D. (2004) ). For both methods, there are three multicomparison procedure available: Tukey, multivariate T, and Scott-Knott. %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}