%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname VIM %global packver 7.0.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 7.0.0 Release: 1%{?dist}%{?buildtag} Summary: Visualization and Imputation of Missing Values License: GPL (>= 2) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 4.1.0 Requires: R-core >= 4.1.0 BuildRequires: R-CRAN-data.table >= 1.9.4 BuildRequires: R-CRAN-colorspace BuildRequires: R-grid BuildRequires: R-CRAN-car BuildRequires: R-grDevices BuildRequires: R-CRAN-robustbase BuildRequires: R-stats BuildRequires: R-CRAN-sp BuildRequires: R-CRAN-vcd BuildRequires: R-CRAN-nnet BuildRequires: R-CRAN-e1071 BuildRequires: R-methods BuildRequires: R-CRAN-Rcpp BuildRequires: R-utils BuildRequires: R-graphics BuildRequires: R-CRAN-laeken BuildRequires: R-CRAN-ranger BuildRequires: R-CRAN-MASS BuildRequires: R-CRAN-xgboost BuildRequires: R-CRAN-mlr3 BuildRequires: R-CRAN-mlr3pipelines BuildRequires: R-CRAN-R6 BuildRequires: R-CRAN-paradox BuildRequires: R-CRAN-mlr3tuning BuildRequires: R-CRAN-mlr3learners BuildRequires: R-CRAN-future Requires: R-CRAN-data.table >= 1.9.4 Requires: R-CRAN-colorspace Requires: R-grid Requires: R-CRAN-car Requires: R-grDevices Requires: R-CRAN-robustbase Requires: R-stats Requires: R-CRAN-sp Requires: R-CRAN-vcd Requires: R-CRAN-nnet Requires: R-CRAN-e1071 Requires: R-methods Requires: R-CRAN-Rcpp Requires: R-utils Requires: R-graphics Requires: R-CRAN-laeken Requires: R-CRAN-ranger Requires: R-CRAN-MASS Requires: R-CRAN-xgboost Requires: R-CRAN-mlr3 Requires: R-CRAN-mlr3pipelines Requires: R-CRAN-R6 Requires: R-CRAN-paradox Requires: R-CRAN-mlr3tuning Requires: R-CRAN-mlr3learners Requires: R-CRAN-future %description Provides methods for imputation and visualization of missing values. It includes graphical tools to explore the amount, structure and patterns of missing and/or imputed values, supporting exploratory data analysis and helping to investigate potential missingness mechanisms (details in Alfons, Templ and Filzmoser, . The quality of imputations can be assessed visually using a wide range of univariate, bivariate and multivariate plots. The package further provides several imputation methods, including efficient implementations of k-nearest neighbour and hot-deck imputation (Kowarik and Templ 2013, , iterative robust model-based multiple imputation (Templ 2011, ; Templ 2023, ), and machine learning–based approaches such as robust GAM-based multiple imputation (Templ 2024, ) as well as gradient boosting (XGBoost) and transformer-based methods (Niederhametner et al., ). General background and practical guidance on imputation are provided in the Springer book by Templ (2023) . %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}