File R-frechet.spec of Package R-frechet
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# Spec file for package frechet
# 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 frechet
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 0.3.0
Release: 0
Summary: Statistical Analysis for Random Objects and Non-Euclidean Data
Group: Development/Libraries/Other
License: BSD_3_clause + file LICENSE
URL: http://cran.r-project.org/web/packages/%{packname}
Source: frechet_0.3.0.tar.gz
Requires: R-base
Requires: R-corrplot
Requires: R-e1071
Requires: R-fdadensity
Requires: R-fdapace
Requires: R-pracma
Requires: R-quadprog
Requires: R-osqp
Requires: R-trust
Requires: R-proxy
Requires: R-Rcpp
Requires: R-Hmisc
Requires: R-numDeriv
Requires: R-RcppEigen
Requires: R-R6
Requires: R-ggplot2
Requires: R-gtable
Requires: R-gridExtra
Requires: R-data.table
Requires: R-htmlTable
Requires: R-viridis
Requires: R-htmltools
Requires: R-base64enc
Requires: R-colorspace
Requires: R-rmarkdown
Requires: R-knitr
Requires: R-Formula
Requires: R-cli
Requires: R-isoband
Requires: R-lifecycle
Requires: R-rlang
Requires: R-S7
Requires: R-scales
Requires: R-vctrs
Requires: R-withr
Requires: R-glue
Requires: R-stringr
Requires: R-magrittr
Requires: R-checkmate
Requires: R-htmlwidgets
Requires: R-rstudioapi
Requires: R-digest
Requires: R-fastmap
Requires: R-evaluate
Requires: R-highr
Requires: R-xfun
Requires: R-yaml
Requires: R-bslib
Requires: R-fontawesome
Requires: R-jquerylib
Requires: R-jsonlite
Requires: R-tinytex
Requires: R-viridisLite
Requires: R-cachem
Requires: R-memoise
Requires: R-mime
Requires: R-sass
Requires: R-backports
Requires: R-farver
Requires: R-labeling
Requires: R-RColorBrewer
Requires: R-stringi
Requires: R-fs
Requires: R-rappdirs
# %%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-corrplot
BuildRequires: R-e1071
BuildRequires: R-fdadensity
BuildRequires: R-fdapace
BuildRequires: R-pracma
BuildRequires: R-quadprog
BuildRequires: R-osqp
BuildRequires: R-trust
BuildRequires: R-proxy
BuildRequires: R-Rcpp-devel
BuildRequires: R-Hmisc
BuildRequires: R-numDeriv
BuildRequires: R-RcppEigen-devel
BuildRequires: R-R6
BuildRequires: R-ggplot2
BuildRequires: R-gtable
BuildRequires: R-gridExtra
BuildRequires: R-data.table
BuildRequires: R-htmlTable
BuildRequires: R-viridis
BuildRequires: R-htmltools
BuildRequires: R-base64enc
BuildRequires: R-colorspace
BuildRequires: R-rmarkdown
BuildRequires: R-knitr
BuildRequires: R-Formula
BuildRequires: R-cli
BuildRequires: R-isoband
BuildRequires: R-lifecycle
BuildRequires: R-rlang
BuildRequires: R-S7
BuildRequires: R-scales
BuildRequires: R-vctrs
BuildRequires: R-withr
BuildRequires: R-glue
BuildRequires: R-stringr
BuildRequires: R-magrittr
BuildRequires: R-checkmate
BuildRequires: R-htmlwidgets
BuildRequires: R-rstudioapi
BuildRequires: R-digest
BuildRequires: R-fastmap
BuildRequires: R-evaluate
BuildRequires: R-highr
BuildRequires: R-xfun
BuildRequires: R-yaml
BuildRequires: R-bslib
BuildRequires: R-fontawesome
BuildRequires: R-jquerylib
BuildRequires: R-jsonlite
BuildRequires: R-tinytex
BuildRequires: R-viridisLite
BuildRequires: R-cachem
BuildRequires: R-memoise
BuildRequires: R-mime
BuildRequires: R-sass
BuildRequires: R-backports
BuildRequires: R-farver
BuildRequires: R-labeling
BuildRequires: R-RColorBrewer
BuildRequires: R-stringi
BuildRequires: R-fs
BuildRequires: R-rappdirs
Suggests: R-Rcpp
Suggests: R-testthat
Suggests: R-igraph
Suggests: R-mpoly
Suggests: R-truncnorm
%description
Provides implementation of statistical methods for random objects lying
in various metric spaces, which are not necessarily linear spaces. The
core of this package is Fréchet regression for random objects with
Euclidean predictors, which allows one to perform regression analysis
for non-Euclidean responses under some mild conditions. Examples
include distributions in 2-Wasserstein space, covariance matrices
endowed with power metric (with Frobenius metric as a special case),
Cholesky and log-Cholesky metrics, spherical data. References:
Petersen, A., & Müller, H.-G. (2019) <doi:10.1214/17-AOS1624>.
%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
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog
