%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname trendtestR %global packver 1.0.1 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.1 Release: 1%{?dist}%{?buildtag} Summary: Exploratory Trend Analysis and Visualization for Time-Series and Grouped Data License: GPL (>= 3) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.5.0 Requires: R-core >= 3.5.0 BuildArch: noarch BuildRequires: R-CRAN-ggplot2 >= 3.3.0 BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-lubridate BuildRequires: R-CRAN-emmeans BuildRequires: R-CRAN-e1071 BuildRequires: R-CRAN-forecast BuildRequires: R-CRAN-MASS BuildRequires: R-CRAN-multcomp BuildRequires: R-CRAN-tidyselect BuildRequires: R-CRAN-tidyr BuildRequires: R-CRAN-tseries BuildRequires: R-CRAN-car BuildRequires: R-CRAN-FSA BuildRequires: R-CRAN-ggpubr BuildRequires: R-CRAN-rlang BuildRequires: R-splines BuildRequires: R-CRAN-pscl BuildRequires: R-CRAN-mgcv Requires: R-CRAN-ggplot2 >= 3.3.0 Requires: R-CRAN-dplyr Requires: R-CRAN-lubridate Requires: R-CRAN-emmeans Requires: R-CRAN-e1071 Requires: R-CRAN-forecast Requires: R-CRAN-MASS Requires: R-CRAN-multcomp Requires: R-CRAN-tidyselect Requires: R-CRAN-tidyr Requires: R-CRAN-tseries Requires: R-CRAN-car Requires: R-CRAN-FSA Requires: R-CRAN-ggpubr Requires: R-CRAN-rlang Requires: R-splines Requires: R-CRAN-pscl Requires: R-CRAN-mgcv %description Provides a set of exploratory data analysis (EDA) tools for visualizing trends, diagnosing data types for beginner-friendly workflows, and automatically routing to suitable statistical tests or trend exploration models. Includes unified plotting functions for trend lines, grouped boxplots, and comparative scatterplots; automated statistical testing (e.g., t-test, Wilcoxon, ANOVA, Kruskal-Wallis, Tukey, Dunn) with optional effect size calculation; and model-based trend analysis using generalized additive models (GAM) for count data, generalized linear models (GLM) for continuous data, and zero-inflated models (ZIP/ZINB) for count data with potential zero-inflation. Also supports time-window continuity checks, cross-year handling in compare_monthly_cases(), and ARIMA-ready preparation with stationarity diagnostics, ensuring consistent parameter styles for reproducible research and user-friendly workflows.Methods are based on R Core Team (2024) , Wood, S.N.(2017, ISBN:978-1498728331), Hyndman RJ, Khandakar Y (2008) , Simon Jackman (2024) , Achim Zeileis, Christian Kleiber, Simon Jackman (2008) . %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}