automatic import of R-CRAN-autoTSf34

3 files changed, 79 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..71de686 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/autoTS_0.9.11.tar.gz
diff --git a/R-CRAN-autoTS.spec b/R-CRAN-autoTS.spec
new file mode 100644
index 0000000..7a9c126
--- /dev/null
+++ b/R-CRAN-autoTS.spec
@@ -0,0 +1,77 @@
+%global packname  autoTS
+%global packver   0.9.11
+%global rlibdir   /usr/local/lib/R/library
+
+Name:             R-CRAN-%{packname}
+Version:          0.9.11
+Release:          3%{?dist}%{?buildtag}
+Summary:          Automatic Model Selection and Prediction for Univariate TimeSeries
+
+License:          GPL-3
+URL:              https://cran.r-project.org/package=%{packname}
+Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz
+
+
+BuildRequires:    R-devel
+Requires:         R-core
+BuildArch:        noarch
+BuildRequires:    R-CRAN-rlang 
+BuildRequires:    R-CRAN-prophet 
+BuildRequires:    R-CRAN-dplyr 
+BuildRequires:    R-CRAN-magrittr 
+BuildRequires:    R-CRAN-lubridate 
+BuildRequires:    R-CRAN-tidyr 
+BuildRequires:    R-CRAN-forecast 
+BuildRequires:    R-CRAN-ggplot2 
+BuildRequires:    R-CRAN-RcppRoll 
+BuildRequires:    R-CRAN-shiny 
+BuildRequires:    R-CRAN-shinycssloaders 
+BuildRequires:    R-CRAN-plotly 
+Requires:         R-CRAN-rlang 
+Requires:         R-CRAN-prophet 
+Requires:         R-CRAN-dplyr 
+Requires:         R-CRAN-magrittr 
+Requires:         R-CRAN-lubridate 
+Requires:         R-CRAN-tidyr 
+Requires:         R-CRAN-forecast 
+Requires:         R-CRAN-ggplot2 
+Requires:         R-CRAN-RcppRoll 
+Requires:         R-CRAN-shiny 
+Requires:         R-CRAN-shinycssloaders 
+Requires:         R-CRAN-plotly 
+
+%description
+Offers a set of functions to easily make predictions for univariate time
+series. 'autoTS' is a wrapper of existing functions of the 'forecast' and
+'prophet' packages, harmonising their outputs in tidy dataframes and using
+default values for each. The core function getBestModel() allows the user
+to effortlessly benchmark seven algorithms along with a bagged estimator
+to identify which one performs the best for a given time series.
+
+%prep
+%setup -q -c -n %{packname}
+
+find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \;
+
+%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
+
+%files
+%dir %{rlibdir}/%{packname}
+%doc %{rlibdir}/%{packname}/html
+%{rlibdir}/%{packname}/Meta
+%{rlibdir}/%{packname}/help
+%{rlibdir}/%{packname}/DESCRIPTION
+%{rlibdir}/%{packname}/NAMESPACE
+%{rlibdir}/%{packname}/R
+%doc %{rlibdir}/%{packname}/doc
+%{rlibdir}/%{packname}/extdata
+%doc %{rlibdir}/%{packname}/shiny-example
+%{rlibdir}/%{packname}/INDEX
diff --git a/sources b/sources
new file mode 100644
index 0000000..ebe2442
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+30d4aaf81027638e1e0045c3bdb7ef83  autoTS_0.9.11.tar.gz