File R-footBayes.spec of Package R-footBayes
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# Spec file for package footBayes
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%global packname footBayes
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 2.0.0
Release: 0
Summary: Fitting Bayesian and MLE Football Models
Group: Development/Libraries/Other
License: GPL-2
URL: http://cran.r-project.org/web/packages/%{packname}
Source: footBayes_2.0.0.tar.gz
Requires: R-base
Requires: R-rstan
Requires: R-instantiate
Requires: R-reshape2
Requires: R-ggplot2
Requires: R-ggridges
Requires: R-matrixStats
Requires: R-extraDistr
Requires: R-metRology
Requires: R-dplyr
Requires: R-tidyr
Requires: R-numDeriv
Requires: R-magrittr
Requires: R-rlang
Requires: R-posterior
Requires: R-cli
Requires: R-generics
Requires: R-glue
Requires: R-lifecycle
Requires: R-pillar
Requires: R-R6
Requires: R-tibble
Requires: R-tidyselect
Requires: R-vctrs
Requires: R-Rcpp
Requires: R-gtable
Requires: R-isoband
Requires: R-S7
Requires: R-scales
Requires: R-withr
Requires: R-callr
Requires: R-fs
Requires: R-robustbase
Requires: R-abind
Requires: R-checkmate
Requires: R-tensorA
Requires: R-distributional
Requires: R-plyr
Requires: R-stringr
Requires: R-StanHeaders
Requires: R-inline
Requires: R-gridExtra
Requires: R-RcppParallel
Requires: R-loo
Requires: R-pkgbuild
Requires: R-QuickJSR
Requires: R-RcppEigen
Requires: R-BH
Requires: R-purrr
Requires: R-cpp11
Requires: R-processx
Requires: R-backports
Requires: R-utf8
Requires: R-desc
Requires: R-DEoptimR
Requires: R-farver
Requires: R-labeling
Requires: R-RColorBrewer
Requires: R-viridisLite
Requires: R-stringi
Requires: R-pkgconfig
Requires: R-ps
Requires: pandoc
# %%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-rstan-devel
BuildRequires: R-instantiate
BuildRequires: R-reshape2
BuildRequires: R-ggplot2
BuildRequires: R-ggridges
BuildRequires: R-matrixStats
BuildRequires: R-extraDistr
BuildRequires: R-metRology
BuildRequires: R-dplyr
BuildRequires: R-tidyr
BuildRequires: R-numDeriv
BuildRequires: R-magrittr
BuildRequires: R-rlang
BuildRequires: R-posterior
BuildRequires: R-cli
BuildRequires: R-generics
BuildRequires: R-glue
BuildRequires: R-lifecycle
BuildRequires: R-pillar
BuildRequires: R-R6
BuildRequires: R-tibble
BuildRequires: R-tidyselect
BuildRequires: R-vctrs
BuildRequires: R-Rcpp-devel
BuildRequires: R-gtable
BuildRequires: R-isoband
BuildRequires: R-S7
BuildRequires: R-scales
BuildRequires: R-withr
BuildRequires: R-callr
BuildRequires: R-fs
BuildRequires: R-robustbase
BuildRequires: R-abind
BuildRequires: R-checkmate
BuildRequires: R-tensorA
BuildRequires: R-distributional
BuildRequires: R-plyr
BuildRequires: R-stringr
BuildRequires: R-StanHeaders-devel
BuildRequires: R-inline
BuildRequires: R-gridExtra
BuildRequires: R-RcppParallel-devel
BuildRequires: R-loo
BuildRequires: R-pkgbuild
BuildRequires: R-QuickJSR-devel
BuildRequires: R-RcppEigen-devel
BuildRequires: R-BH-devel
BuildRequires: R-purrr
BuildRequires: R-cpp11-devel
BuildRequires: R-processx
BuildRequires: R-backports
BuildRequires: R-utf8
BuildRequires: R-desc
BuildRequires: R-DEoptimR
BuildRequires: R-farver
BuildRequires: R-labeling
BuildRequires: R-RColorBrewer
BuildRequires: R-viridisLite
BuildRequires: R-stringi
BuildRequires: R-pkgconfig
BuildRequires: R-ps
BuildRequires: gcc gcc-c++ gcc-fortran
Suggests: R-testthat
Suggests: R-knitr
Suggests: R-rmarkdown
Suggests: R-loo
Suggests: R-bayesplot
Suggests: R-cmdstanr
%description
This is the first package allowing for the estimation, visualization
and prediction of the most well-known football models: double Poisson,
bivariate Poisson, Skellam, student_t, diagonal-inflated bivariate
Poisson, and zero-inflated Skellam. It supports both maximum likelihood
estimation (MLE, for 'static' models only) and Bayesian inference. For
Bayesian methods, it incorporates several techniques: MCMC sampling
with Hamiltonian Monte Carlo, variational inference using either the
Pathfinder algorithm or Automatic Differentiation Variational Inference
(ADVI), and the Laplace approximation. The package compiles all the
'CmdStan' models once during installation using the 'instantiate'
package. The model construction relies on the most well-known football
references, such as Dixon and Coles (1997)
<doi:10.1111/1467-9876.00065>, Karlis and Ntzoufras (2003)
<doi:10.1111/1467-9884.00366> and Egidi, Pauli and Torelli (2018)
<doi:10.1177/1471082X18798414>.
%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
%doc %{rlibdir}/%{packname}/NEWS.md
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/bin
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
