File R-BINtools.spec of Package R-BINtools
# Automatically generated by CRAN2OBS
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# Spec file for package BINtools
# 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 BINtools
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 0.2.0
Release: 0
Summary: Bayesian BIN (Bias, Information, Noise) Model of Forecasting
Group: Development/Libraries/Other
License: GPL-3
URL: http://cran.r-project.org/web/packages/%{packname}
Source: BINtools_0.2.0.tar.gz
Requires: R-base
Requires: R-Rcpp
Requires: R-rstan
Requires: R-dplyr
Requires: R-tibble
Requires: R-stringi
Requires: R-mvtnorm
Requires: R-combinat
Requires: R-rstantools
Requires: R-BH
Requires: R-RcppEigen
Requires: R-RcppParallel
Requires: R-StanHeaders
Requires: R-cli
Requires: R-generics
Requires: R-glue
Requires: R-lifecycle
Requires: R-magrittr
Requires: R-pillar
Requires: R-R6
Requires: R-rlang
Requires: R-tidyselect
Requires: R-vctrs
Requires: R-inline
Requires: R-gridExtra
Requires: R-loo
Requires: R-pkgbuild
Requires: R-QuickJSR
Requires: R-ggplot2
Requires: R-desc
Requires: R-pkgconfig
Requires: R-gtable
Requires: R-isoband
Requires: R-S7
Requires: R-scales
Requires: R-withr
Requires: R-checkmate
Requires: R-matrixStats
Requires: R-posterior
Requires: R-utf8
Requires: R-callr
Requires: R-processx
Requires: R-backports
Requires: R-cpp11
Requires: R-abind
Requires: R-tensorA
Requires: R-distributional
Requires: R-ps
Requires: R-farver
Requires: R-labeling
Requires: R-RColorBrewer
Requires: R-viridisLite
Requires: R-numDeriv
# %%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-Rcpp-devel
BuildRequires: R-rstan-devel
BuildRequires: R-dplyr
BuildRequires: R-tibble
BuildRequires: R-stringi
BuildRequires: R-mvtnorm
BuildRequires: R-combinat
BuildRequires: R-rstantools
BuildRequires: R-BH-devel
BuildRequires: R-RcppEigen-devel
BuildRequires: R-RcppParallel-devel
BuildRequires: R-StanHeaders-devel
BuildRequires: R-cli
BuildRequires: R-generics
BuildRequires: R-glue
BuildRequires: R-lifecycle
BuildRequires: R-magrittr
BuildRequires: R-pillar
BuildRequires: R-R6
BuildRequires: R-rlang
BuildRequires: R-tidyselect
BuildRequires: R-vctrs
BuildRequires: R-inline
BuildRequires: R-gridExtra
BuildRequires: R-loo
BuildRequires: R-pkgbuild
BuildRequires: R-QuickJSR
BuildRequires: R-ggplot2
BuildRequires: R-desc
BuildRequires: R-pkgconfig
BuildRequires: R-gtable
BuildRequires: R-isoband
BuildRequires: R-S7
BuildRequires: R-scales
BuildRequires: R-withr
BuildRequires: R-checkmate
BuildRequires: R-matrixStats
BuildRequires: R-posterior
BuildRequires: R-utf8
BuildRequires: R-callr
BuildRequires: R-processx
BuildRequires: R-backports
BuildRequires: R-cpp11-devel
BuildRequires: R-abind
BuildRequires: R-tensorA
BuildRequires: R-distributional
BuildRequires: R-ps
BuildRequires: R-farver
BuildRequires: R-labeling
BuildRequires: R-RColorBrewer
BuildRequires: R-viridisLite
BuildRequires: R-numDeriv
BuildRequires: gcc gcc-c++ gcc-fortran
Suggests: R-testthat
Suggests: R-knitr
Suggests: R-rmarkdown
Suggests: R-pacman
Suggests: R-RcppParallel
%description
A recently proposed Bayesian BIN model disentangles the underlying
processes that enable forecasters and forecasting methods to improve,
decomposing forecasting accuracy into three components: bias, partial
information, and noise. By describing the differences between two
groups of forecasters, the model allows the user to carry out useful
inference, such as calculating the posterior probabilities of the
treatment reducing bias, diminishing noise, or increasing information.
It also provides insight into how much tamping down bias and noise in
judgment or enhancing the efficient extraction of valid information
from the environment improves forecasting accuracy. This package
provides easy access to the BIN model. For further information refer to
the paper Ville A. Satopää, Marat Salikhov, Philip E. Tetlock, and
Barbara Mellers (2021) "Bias, Information, Noise: The BIN Model of
Forecasting" <doi:10.1287/mnsc.2020.3882>.
%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}/doc
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/include
%{rlibdir}/%{packname}/libs
%{rlibdir}/%{packname}/stan
%changelog
