File R-manymome.spec of Package R-manymome

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File R-manymome.spec of Package R-manymome

# Automatically generated by CRAN2OBS
# 
# Spec file for package manymome 
# 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) 2024 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  manymome 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.2.1 
Release:        0 
Summary:        Mediation, Moderation and Moderated-Mediation After Model Fitting 
Group:          Development/Libraries/Other 
License:        GPL (>= 3) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         manymome_0.2.1.tar.gz 
Requires:       R-base 
Requires:	R-lavaan
Requires:	R-pbapply
Requires:	R-ggplot2
Requires:	R-igraph
Requires:	R-cli
Requires:	R-glue
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-lifecycle
Requires:	R-rlang
Requires:	R-scales
Requires:	R-tibble
Requires:	R-vctrs
Requires:	R-withr
Requires:	R-magrittr
Requires:	R-pkgconfig
Requires:	R-cpp11
Requires:	R-mnormt
Requires:	R-pbivnorm
Requires:	R-numDeriv
Requires:	R-quadprog
Requires:	R-farver
Requires:	R-labeling
Requires:	R-munsell
Requires:	R-R6
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-fansi
Requires:	R-pillar
Requires:	R-colorspace
Requires:	R-utf8
 
# %%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-lavaan
BuildRequires: 	R-pbapply
BuildRequires: 	R-ggplot2
BuildRequires: 	R-igraph
BuildRequires: 	R-cli
BuildRequires: 	R-glue
BuildRequires: 	R-gtable
BuildRequires: 	R-isoband
BuildRequires: 	R-lifecycle
BuildRequires: 	R-rlang
BuildRequires: 	R-scales
BuildRequires: 	R-tibble
BuildRequires: 	R-vctrs
BuildRequires: 	R-withr
BuildRequires: 	R-magrittr
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-mnormt
BuildRequires: 	R-pbivnorm
BuildRequires: 	R-numDeriv
BuildRequires: 	R-quadprog
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-munsell
BuildRequires: 	R-R6
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-viridisLite
BuildRequires: 	R-fansi
BuildRequires: 	R-pillar
BuildRequires: 	R-colorspace
BuildRequires: 	R-utf8
 
Suggests:	R-knitr
Suggests:	R-rmarkdown
Suggests:	R-semPlot
Suggests:	R-semptools
Suggests:	R-semTools
Suggests:	R-Amelia
Suggests:	R-mice
Suggests:	R-testthat
%description 
Computes indirect effects, conditional effects, and conditional 
indirect effects in a structural equation model or path model after 
model fitting, with no need to define any user parameters or label any 
paths in the model syntax, using the approach presented in Cheung and 
Cheung (2023) <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap 
confidence intervals by doing bootstrapping only once and reusing the 
bootstrap estimates in all subsequent computations. Supports bootstrap 
confidence intervals for standardized (partially or completely) 
indirect effects, conditional effects, and conditional indirect effects 
as described in Cheung (2009) <doi:10.3758/BRM.41.2.425> and Cheung, 
Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Model 
fitting can be done by structural equation modeling using lavaan() or 
regression using lm(). 
 
%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
%{rlibdir}/%{packname}/doc
%{rlibdir}/%{packname}/extdata
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog

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File R-manymome.spec of Package R-manymome

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