File R-EATME.spec of Package R-EATME
# Automatically generated by CRAN2OBS
#
# Spec file for package EATME
# This file is auto-generated using information in the package source,
# esp. Description and Summary. Improvements in that area should be
# discussed with upstream.
#
# Copyright (c) 2026 SUSE LINUX GmbH, Nuernberg, Germany.
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.
#
# Please submit bugfixes or comments via http://bugs.opensuse.org/
#
%global packname EATME
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 0.1.0
Release: 0
Summary: Exponentially Weighted Moving Average with Adjustments to Measurement Error
Group: Development/Libraries/Other
License: GPL-3
URL: http://cran.r-project.org/web/packages/%{packname}
Source: EATME_0.1.0.tar.gz
Requires: R-base
Requires: R-qcr
Requires: R-qcc
Requires: R-fda.usc
Requires: R-mvtnorm
Requires: R-fda
Requires: R-knitr
Requires: R-doParallel
Requires: R-iterators
Requires: R-foreach
Requires: R-kSamples
Requires: R-fds
Requires: R-deSolve
Requires: R-evaluate
Requires: R-highr
Requires: R-xfun
Requires: R-yaml
Requires: R-SuppDists
Requires: R-rainbow
Requires: R-RCurl
Requires: R-pcaPP
Requires: R-hdrcde
Requires: R-colorspace
Requires: R-ks
Requires: R-bitops
Requires: R-locfit
Requires: R-ash
Requires: R-ggplot2
Requires: R-RColorBrewer
Requires: R-FNN
Requires: R-kernlab
Requires: R-mclust
Requires: R-multicool
Requires: R-pracma
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-withr
Requires: R-Rcpp
Requires: R-glue
Requires: R-cpp11
Requires: R-farver
Requires: R-labeling
Requires: R-R6
Requires: R-viridisLite
# %%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
# BuildRequires: texlive
# %endif
# BuildRequires: texinfo
BuildRequires: fdupes
BuildRequires: R-base
BuildRequires: R-qcr
BuildRequires: R-qcc
BuildRequires: R-fda.usc
BuildRequires: R-mvtnorm
BuildRequires: R-fda
BuildRequires: R-knitr
BuildRequires: R-doParallel
BuildRequires: R-iterators
BuildRequires: R-foreach
BuildRequires: R-kSamples
BuildRequires: R-fds
BuildRequires: R-deSolve-devel
BuildRequires: R-evaluate
BuildRequires: R-highr
BuildRequires: R-xfun
BuildRequires: R-yaml
BuildRequires: R-SuppDists
BuildRequires: R-rainbow
BuildRequires: R-RCurl
BuildRequires: R-pcaPP
BuildRequires: R-hdrcde
BuildRequires: R-colorspace
BuildRequires: R-ks
BuildRequires: R-bitops
BuildRequires: R-locfit
BuildRequires: R-ash
BuildRequires: R-ggplot2
BuildRequires: R-RColorBrewer
BuildRequires: R-FNN
BuildRequires: R-kernlab
BuildRequires: R-mclust
BuildRequires: R-multicool
BuildRequires: R-pracma
BuildRequires: R-cli
BuildRequires: R-gtable
BuildRequires: R-isoband
BuildRequires: R-lifecycle
BuildRequires: R-rlang
BuildRequires: R-S7
BuildRequires: R-scales
BuildRequires: R-vctrs
BuildRequires: R-withr
BuildRequires: R-Rcpp-devel
BuildRequires: R-glue
BuildRequires: R-cpp11-devel
BuildRequires: R-farver
BuildRequires: R-labeling
BuildRequires: R-R6
BuildRequires: R-viridisLite
Suggests: R-knitr
Suggests: R-rmarkdown
%description
The univariate statistical quality control tool aims to address
measurement error effects when constructing exponentially weighted
moving average p control charts. The method primarily focuses on binary
random variables, but it can be applied to any continuous random
variables by using sign statistic to transform them to discrete ones.
With the correction of measurement error effects, we can obtain the
corrected control limits of exponentially weighted moving average p
control chart and reasonably adjusted exponentially weighted moving
average p control charts. The methods in this package can be found in
some relevant references, such as Chen and Yang (2022) <arXiv:
2203.03384>; Yang et al. (2011) <doi: 10.1016/j.eswa.2010.11.044>; Yang
and Arnold (2014) <doi: 10.1155/2014/238719>; Yang (2016) <doi:
10.1080/03610918.2013.763980> and Yang and Arnold (2016) <doi:
10.1080/00949655.2015.1125901>.
%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
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
