File R-DSAM.spec of Package R-DSAM
# Automatically generated by CRAN2OBS
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# Spec file for package DSAM
# This file is auto-generated using information in the package source,
# esp. Description and Summary. Improvements in that area should be
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%global packname DSAM
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.0.2
Release: 0
Summary: Data Splitting Algorithms for Model Developments
Group: Development/Libraries/Other
License: MIT + file LICENSE
URL: http://cran.r-project.org/web/packages/%{packname}
Source: DSAM_1.0.2.tar.gz
Requires: R-base
Requires: R-caret
Requires: R-kohonen
Requires: R-pROC
Requires: R-xgboost
Requires: R-ggplot2
Requires: R-e1071
Requires: R-foreach
Requires: R-ModelMetrics
Requires: R-plyr
Requires: R-recipes
Requires: R-reshape2
Requires: R-withr
Requires: R-Rcpp
Requires: R-data.table
Requires: R-jsonlite
Requires: R-proxy
Requires: R-iterators
Requires: R-cli
Requires: R-gtable
Requires: R-isoband
Requires: R-lifecycle
Requires: R-rlang
Requires: R-S7
Requires: R-scales
Requires: R-vctrs
Requires: R-dplyr
Requires: R-clock
Requires: R-generics
Requires: R-glue
Requires: R-gower
Requires: R-hardhat
Requires: R-ipred
Requires: R-lubridate
Requires: R-magrittr
Requires: R-purrr
Requires: R-sparsevctrs
Requires: R-tibble
Requires: R-tidyr
Requires: R-tidyselect
Requires: R-timeDate
Requires: R-stringr
Requires: R-tzdb
Requires: R-cpp11
Requires: R-pillar
Requires: R-R6
Requires: R-prodlim
Requires: R-timechange
Requires: R-farver
Requires: R-labeling
Requires: R-RColorBrewer
Requires: R-viridisLite
Requires: R-stringi
Requires: R-pkgconfig
Requires: R-utf8
Requires: R-diagram
Requires: R-lava
Requires: R-shape
Requires: R-future.apply
Requires: R-numDeriv
Requires: R-progressr
Requires: R-SQUAREM
Requires: R-future
Requires: R-globals
Requires: R-digest
Requires: R-listenv
Requires: R-parallelly
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
# # Three others commonly needed
# BuildRequires: tex(ae.sty)
# BuildRequires: tex(fancyvrb.sty)
# BuildRequires: tex(inconsolata.sty)
# BuildRequires: tex(natbib.sty)
# %else
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# %endif
# BuildRequires: texinfo
BuildRequires: fdupes
BuildRequires: R-base
BuildRequires: R-caret
BuildRequires: R-kohonen
BuildRequires: R-pROC
BuildRequires: R-xgboost
BuildRequires: R-ggplot2
BuildRequires: R-e1071
BuildRequires: R-foreach
BuildRequires: R-ModelMetrics
BuildRequires: R-plyr
BuildRequires: R-recipes
BuildRequires: R-reshape2
BuildRequires: R-withr
BuildRequires: R-Rcpp-devel
BuildRequires: R-data.table
BuildRequires: R-jsonlite
BuildRequires: R-proxy
BuildRequires: R-iterators
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BuildRequires: R-isoband
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BuildRequires: R-rlang
BuildRequires: R-S7
BuildRequires: R-scales
BuildRequires: R-vctrs
BuildRequires: R-dplyr
BuildRequires: R-clock
BuildRequires: R-generics
BuildRequires: R-glue
BuildRequires: R-gower
BuildRequires: R-hardhat
BuildRequires: R-ipred
BuildRequires: R-lubridate
BuildRequires: R-magrittr
BuildRequires: R-purrr
BuildRequires: R-sparsevctrs
BuildRequires: R-tibble
BuildRequires: R-tidyr
BuildRequires: R-tidyselect
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BuildRequires: R-stringr
BuildRequires: R-tzdb
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BuildRequires: R-pillar
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BuildRequires: R-prodlim
BuildRequires: R-timechange
BuildRequires: R-farver
BuildRequires: R-labeling
BuildRequires: R-RColorBrewer
BuildRequires: R-viridisLite
BuildRequires: R-stringi
BuildRequires: R-pkgconfig
BuildRequires: R-utf8
BuildRequires: R-diagram
BuildRequires: R-lava
BuildRequires: R-shape
BuildRequires: R-future.apply
BuildRequires: R-numDeriv
BuildRequires: R-progressr
BuildRequires: R-SQUAREM
BuildRequires: R-future
BuildRequires: R-globals
BuildRequires: R-digest
BuildRequires: R-listenv
BuildRequires: R-parallelly
%description
Providing six different algorithms that can be used to split the
available data into training, test and validation subsets with similar
distribution for hydrological model developments. The dataSplit()
function will help you divide the data according to specific
requirements, and you can refer to the par.default() function to set
the parameters for data splitting. The getAUC() function will help you
measure the similarity of distribution features between the data
subsets. For more information about the data splitting algorithms,
please refer to: Chen et al. (2022)
<doi:10.1016/j.jhydrol.2022.128340>, Zheng et al. (2022)
<doi:10.1029/2021WR031818>.
%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}
%doc %{rlibdir}/%{packname}/DESCRIPTION
%{rlibdir}/%{packname}/INDEX
%license %{rlibdir}/%{packname}/LICENSE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
