File R-metan.spec of Package R-metan
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# Spec file for package metan
# This file is auto-generated using information in the package source,
# esp. Description and Summary. Improvements in that area should be
# discussed with upstream.
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%global packname metan
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.19.0
Release: 0
Summary: Multi Environment Trials Analysis
Group: Development/Libraries/Other
License: GPL-3
URL: http://cran.r-project.org/web/packages/%{packname}
Source: metan_1.19.0.tar.gz
Requires: R-base
Requires: R-dplyr
Requires: R-GGally
Requires: R-ggforce
Requires: R-ggplot2
Requires: R-ggrepel
Requires: R-lme4
Requires: R-lmerTest
Requires: R-magrittr
Requires: R-mathjaxr
Requires: R-patchwork
Requires: R-purrr
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Requires: R-tidyr
Requires: R-tidyselect
Requires: R-cli
Requires: R-generics
Requires: R-glue
Requires: R-lifecycle
Requires: R-pillar
Requires: R-R6
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Requires: R-ggstats
Requires: R-gtable
Requires: R-progress
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Requires: R-scales
Requires: R-tweenr
Requires: R-polyclip
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Requires: R-cpp11
Requires: R-isoband
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Requires: R-nloptr
Requires: R-reformulas
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Requires: R-pkgconfig
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Requires: R-forcats
Requires: R-utf8
Requires: R-crayon
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Requires: R-prettyunits
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Requires: R-labeling
Requires: R-viridisLite
Requires: R-stringi
Requires: R-base64enc
Requires: R-jsonlite
Requires: R-rbibutils
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
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BuildRequires: R-prettyunits
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Suggests: R-DT
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%description
Performs stability analysis of multi-environment trial data using
parametric and non-parametric methods. Parametric methods includes
Additive Main Effects and Multiplicative Interaction (AMMI) analysis by
Gauch (2013) <doi:10.2135/cropsci2013.04.0241>, Ecovalence by Wricke
(1965), Genotype plus Genotype-Environment (GGE) biplot analysis by Yan
& Kang (2003) <doi:10.1201/9781420040371>, geometric adaptability index
by Mohammadi & Amri (2008) <doi:10.1007/s10681-007-9600-6>, joint
regression analysis by Eberhart & Russel (1966)
<doi:10.2135/cropsci1966.0011183X000600010011x>, genotypic confidence
index by Annicchiarico (1992), Murakami & Cruz's (2004) method, power
law residuals (POLAR) statistics by Doring et al. (2015)
<doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of
variation by Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>,
stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, weighted
average of absolute scores by Olivoto et al. (2019a)
<doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by
Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>. Non-parametric
methods includes superiority index by Lin & Binns (1988)
<doi:10.4141/cjps88-018>, nonparametric measures of phenotypic
stability by Huehn (1990) <doi:10.1007/BF00024241>, TOP third statistic
by Fox et al. (1990) <doi:10.1007/BF00040364>. Functions for computing
biometrical analysis such as path analysis, canonical correlation,
partial correlation, clustering analysis, and tools for inspecting,
manipulating, summarizing and plotting typical multi-environment trial
data are also provided.
%prep
%setup -q -c -n %{packname}
# the next line is needed, because we build without --clean in between two packages
rm -rf ~/.R
%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
%fdupes -s %{buildroot}%{rlibdir}
#%%check
#%%{_bindir}/R CMD check %%{packname}
%files
%dir %{rlibdir}/%{packname}
%{rlibdir}/%{packname}/CITATION
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
