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‎specs/R-CRAN-HQM.spec‎

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%global __brp_check_rpaths %{nil}
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%global __requires_exclude ^libmpi
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%global packname HQM
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%global packver 0.1.4
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%global packver 1.0
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%global rlibdir /usr/local/lib/R/library
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Name: R-CRAN-%{packname}
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Version: 0.1.4
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Version: 1.0
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Release: 1%{?dist}%{?buildtag}
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Summary: Superefficient Estimation of Future Conditional Hazards Based on Marker Information
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Requires: R-CRAN-JM
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%description
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Provides a nonparametric smoothed kernel density estimator for the future
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conditional hazard when time-dependent covariates are present. It also
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provides pointwise and uniform confidence bands and a bandwidth selection.
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Provides a nonparametric smoothed kernel estimator for the future
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conditional hazard rate function when time-dependent covariates are
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present, a bandwidth selector for the estimator's implementation and
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pointwise and uniform confidence bands. Methods used in the package refer
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to Bagkavos, Isakson, Mammen, Nielsen and Proust-Lima (2025)
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<doi:10.1093/biomet/asaf008>.
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%prep
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%setup -q -c -n %{packname}

‎specs/R-CRAN-MazamaSpatialPlots.spec‎

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%global __brp_check_rpaths %{nil}
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%global __requires_exclude ^libmpi
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%global packname MazamaSpatialPlots
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%global packver 0.2.0
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%global packver 0.3.0
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%global rlibdir /usr/local/lib/R/library
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Name: R-CRAN-%{packname}
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Version: 0.2.0
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Version: 0.3.0
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Release: 1%{?dist}%{?buildtag}
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Summary: Thematic Plots for Mazama Spatial Datasets
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Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz
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BuildRequires: R-devel >= 3.5.0
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Requires: R-core >= 3.5.0
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BuildRequires: R-devel >= 4.0.0
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Requires: R-core >= 4.0.0
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BuildArch: noarch
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BuildRequires: R-CRAN-MazamaSpatialUtils >= 0.8.0
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BuildRequires: R-CRAN-tmap >= 4.0
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BuildRequires: R-CRAN-MazamaSpatialUtils >= 0.8.7
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BuildRequires: R-CRAN-MazamaCoreUtils >= 0.4.6
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BuildRequires: R-CRAN-dplyr
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BuildRequires: R-CRAN-magrittr
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BuildRequires: R-CRAN-rlang
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BuildRequires: R-CRAN-sf
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BuildRequires: R-CRAN-tmap
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Requires: R-CRAN-MazamaSpatialUtils >= 0.8.0
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Requires: R-CRAN-tmap >= 4.0
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Requires: R-CRAN-MazamaSpatialUtils >= 0.8.7
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Requires: R-CRAN-MazamaCoreUtils >= 0.4.6
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Requires: R-CRAN-dplyr
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Requires: R-CRAN-magrittr
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Requires: R-CRAN-rlang
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Requires: R-CRAN-sf
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Requires: R-CRAN-tmap
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%description
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A suite of convenience functions for generating US state and county

‎specs/R-CRAN-R2sample.spec‎

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%global __brp_check_rpaths %{nil}
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%global __requires_exclude ^libmpi
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%global packname R2sample
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%global packver 2.2.0
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%global packver 3.0.0
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%global rlibdir /usr/local/lib/R/library
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Name: R-CRAN-%{packname}
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Version: 2.2.0
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Version: 3.0.0
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Release: 1%{?dist}%{?buildtag}
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Summary: Various Methods for the Two Sample Problem
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Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz
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BuildRequires: R-devel >= 3.5.0
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Requires: R-core >= 3.5.0
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BuildRequires: R-devel >= 3.5
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Requires: R-core >= 3.5
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BuildRequires: R-CRAN-Rcpp
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BuildRequires: R-parallel
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BuildRequires: R-CRAN-shiny
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BuildRequires: R-CRAN-ggplot2
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BuildRequires: R-stats
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BuildRequires: R-graphics
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Requires: R-CRAN-Rcpp
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Requires: R-parallel
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Requires: R-CRAN-shiny
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Requires: R-CRAN-ggplot2
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Requires: R-stats
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Requires: R-graphics
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%description
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The routine twosample_test() in this package runs the two sample test
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using various test statistic. The p values are found via permutation or
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large sample theory. The routine twosample_power() allows the calculation
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of the power in various cases, and plot_power() draws the corresponding
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power graphs.
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power graphs. The routine run.studies allows a user to quickly study the
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power of a new method and how it compares to some of the standard ones.
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%prep
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%setup -q -c -n %{packname}

‎specs/R-CRAN-RStoolbox.spec‎

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%global __brp_check_rpaths %{nil}
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%global __requires_exclude ^libmpi
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%global packname RStoolbox
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%global packver 1.0.0
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%global packver 1.0.2
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%global rlibdir /usr/local/lib/R/library
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Name: R-CRAN-%{packname}
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Version: 1.0.0
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Version: 1.0.2
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Summary: Remote Sensing Data Analysis
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‎specs/R-CRAN-RcppSpdlog.spec‎

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%global __brp_check_rpaths %{nil}
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%global __requires_exclude ^libmpi
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%global packname RcppSpdlog
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%global packver 0.0.19
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%global packver 0.0.20
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%global rlibdir /usr/local/lib/R/library
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Name: R-CRAN-%{packname}
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Version: 0.0.19
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Version: 0.0.20
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Release: 1%{?dist}%{?buildtag}
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Summary: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
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‎specs/R-CRAN-RegrCoeffsExplorer.spec‎

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%global __brp_check_rpaths %{nil}
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%global __requires_exclude ^libmpi
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%global packname RegrCoeffsExplorer
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%global packver 1.2.0
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%global rlibdir /usr/local/lib/R/library
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Name: R-CRAN-%{packname}
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Version: 1.2.0
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Release: 1%{?dist}%{?buildtag}
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Summary: Efficient Visualization of Regression Coefficients for Lm(), Glm(), and Glmnet() Objects
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License: MIT + file LICENSE
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URL: https://cran.r-project.org/package=%{packname}
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Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz
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BuildRequires: R-devel
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Requires: R-core
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BuildArch: noarch
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BuildRequires: R-CRAN-dplyr
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BuildRequires: R-CRAN-ggpubr
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BuildRequires: R-CRAN-gridExtra
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BuildRequires: R-CRAN-glmnet
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BuildRequires: R-CRAN-ggplot2
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BuildRequires: R-CRAN-magrittr
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BuildRequires: R-grDevices
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BuildRequires: R-CRAN-rlang
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BuildRequires: R-stats
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Requires: R-CRAN-dplyr
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Requires: R-CRAN-ggpubr
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Requires: R-CRAN-gridExtra
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Requires: R-CRAN-glmnet
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Requires: R-CRAN-ggplot2
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Requires: R-CRAN-magrittr
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Requires: R-grDevices
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Requires: R-CRAN-rlang
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Requires: R-stats
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%description
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The visualization tool offers a nuanced understanding of regression
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dynamics, going beyond traditional per-unit interpretation of continuous
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variables versus categorical ones. It highlights the impact of unit
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changes as well as larger shifts like interquartile changes, acknowledging
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the distribution of empirical data. Furthermore, it generates
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visualizations depicting alterations in Odds Ratios for predictors across
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minimum, first quartile, median, third quartile, and maximum values,
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aiding in comprehending predictor-outcome interplay within empirical data
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distributions, particularly in logistic regression frameworks.
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%prep
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%setup -q -c -n %{packname}
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# fix end of executable files
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find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
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# prevent binary stripping
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[ -d %{packname}/src ] && find %{packname}/src -type f -exec \
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sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true
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[ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \
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sed -i 's@-g0@@g' {} \; || true
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# don't allow local prefix in executable scripts
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find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \;
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%build
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%install
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mkdir -p %{buildroot}%{rlibdir}
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%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname}
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test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so)
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rm -f %{buildroot}%{rlibdir}/R.css
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# remove buildroot from installed files
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find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \;
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%files
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%{rlibdir}/%{packname}

‎specs/R-CRAN-Rgof.spec‎

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%global __brp_check_rpaths %{nil}
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%global packname Rgof
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%global packver 3.0.0
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Name: R-CRAN-%{packname}
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Summary: 1d Goodness of Fit Tests
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Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz
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BuildRequires: R-devel >= 3.5.0
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BuildRequires: R-devel >= 3.5
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Requires: R-core >= 3.5
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BuildRequires: R-CRAN-Rcpp
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BuildRequires: R-parallel
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BuildRequires: R-CRAN-ggplot2
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BuildRequires: R-stats
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BuildRequires: R-graphics
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Requires: R-CRAN-Rcpp
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%description
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Routines that allow the user to run a large number of goodness-of-fit
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tests. It allows for data to be continuous or discrete. It includes
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routines to estimate the power of the tests and display them as a power
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graph.
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graph. The routine run.studies allows a user to quickly study the power of
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a new method and how it compares to some of the standard ones.
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%setup -q -c -n %{packname}

‎specs/R-CRAN-SLOPE.spec‎

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%global __brp_check_rpaths %{nil}
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%global packname SLOPE
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%global packver 0.5.1
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%global packver 0.5.2
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Name: R-CRAN-%{packname}
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Summary: Sorted L1 Penalized Estimation
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‎specs/R-CRAN-cgmanalysis.spec‎

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%global __brp_check_rpaths %{nil}
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%global packname cgmanalysis
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%global packver 3.0.1
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Name: R-CRAN-%{packname}
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Summary: Clean and Analyze Continuous Glucose Monitor Data
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‎specs/R-CRAN-cir.spec‎

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%global __brp_check_rpaths %{nil}
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%global packname cir
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%global packver 2.5.1
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Name: R-CRAN-%{packname}
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Version: 2.5.1
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Summary: Centered Isotonic Regression and Dose-Response Utilities
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