%global __brp_check_rpaths %{nil} %global packname dfmeta %global packver 1.0.0 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 1.0.0 Release: 3%{?dist}%{?buildtag} Summary: Meta-Analysis of Phase I Dose-Finding Early Clinical Trials License: GPL (>= 3) | file LICENSE URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.0.2 Requires: R-core >= 3.0.2 BuildArch: noarch BuildRequires: R-CRAN-ggplot2 >= 2.0.0 BuildRequires: R-CRAN-lme4 BuildRequires: R-stats4 BuildRequires: R-CRAN-plyr BuildRequires: R-CRAN-data.table BuildRequires: R-methods BuildRequires: R-graphics BuildRequires: R-grDevices BuildRequires: R-stats BuildRequires: R-utils Requires: R-CRAN-ggplot2 >= 2.0.0 Requires: R-CRAN-lme4 Requires: R-stats4 Requires: R-CRAN-plyr Requires: R-CRAN-data.table Requires: R-methods Requires: R-graphics Requires: R-grDevices Requires: R-stats Requires: R-utils %description Meta-analysis approaches for Phase I dose finding early phases clinical trials in order to better suit requirements in terms of maximum tolerated dose (MTD) and maximal dose regimen (MDR). This package has currently three different approaches: (a) an approach proposed by Zohar et al, 2011, (denoted as ZKO), (b) the Variance Weighted pooling analysis (called VarWT) and (c) the Random Effects Model Based (REMB) algorithm, where user can input his/her own model based approach or use the existing random effect logistic regression model (named as glimem) through the 'dfmeta' package. %prep %setup -q -c -n %{packname} %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 %{rlibdir}/%{packname}