File R-BACCT.spec of Package R-BACCT
# Automatically generated by CRAN2OBS
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# Spec file for package BACCT
# 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 BACCT
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.0
Release: 0
Summary: Bayesian Augmented Control for Clinical Trials
Group: Development/Libraries/Other
License: GPL (>= 3)
URL: http://cran.r-project.org/web/packages/%{packname}
Source: BACCT_1.0.tar.gz
Requires: R-base
Requires: R-rjags
Requires: R-ggplot2
Requires: R-reshape2
Requires: R-cli
Requires: R-gtable
Requires: R-isoband
Requires: R-lifecycle
Requires: R-rlang
Requires: R-S7
Requires: R-scales
Requires: R-vctrs
Requires: R-withr
Requires: R-plyr
Requires: R-Rcpp
Requires: R-stringr
Requires: R-coda
Requires: R-glue
Requires: R-cpp11
Requires: R-farver
Requires: R-labeling
Requires: R-R6
Requires: R-RColorBrewer
Requires: R-viridisLite
Requires: R-magrittr
Requires: R-stringi
# %%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
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# %endif
# BuildRequires: texinfo
BuildRequires: fdupes
BuildRequires: R-base
BuildRequires: R-rjags
BuildRequires: R-ggplot2
BuildRequires: R-reshape2
BuildRequires: R-cli
BuildRequires: R-gtable
BuildRequires: R-isoband
BuildRequires: R-lifecycle
BuildRequires: R-rlang
BuildRequires: R-S7
BuildRequires: R-scales
BuildRequires: R-vctrs
BuildRequires: R-withr
BuildRequires: R-plyr
BuildRequires: R-Rcpp-devel
BuildRequires: R-stringr
BuildRequires: R-coda
BuildRequires: R-glue
BuildRequires: R-cpp11-devel
BuildRequires: R-farver
BuildRequires: R-labeling
BuildRequires: R-R6
BuildRequires: R-RColorBrewer
BuildRequires: R-viridisLite
BuildRequires: R-magrittr
BuildRequires: R-stringi
%description
Implements the Bayesian Augmented Control (BAC, a.k.a. Bayesian
historical data borrowing) method under clinical trial setting by
calling 'Just Another Gibbs Sampler' ('JAGS') software. In addition,
the 'BACCT' package evaluates user-specified decision rules by
computing the type-I error/power, or probability of correct go/no-go
decision at interim look. The evaluation can be presented numerically
or graphically. Users need to have 'JAGS' 4.0.0 or newer installed due
to a compatibility issue with 'rjags' package. Currently, the package
implements the BAC method for binary outcome only. Support for
continuous and survival endpoints will be added in future releases. We
would like to thank AbbVie's Statistical Innovation group and Clinical
Statistics group for their support in developing the 'BACCT' package.
%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
%{rlibdir}/%{packname}/R
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%changelog