%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}