%global __brp_check_rpaths %{nil} %global __requires_exclude ^libmpi %global packname trialr %global packver 0.1.6 %global rlibdir /usr/local/lib/R/library Name: R-CRAN-%{packname} Version: 0.1.6 Release: 1%{?dist}%{?buildtag} Summary: Clinical Trial Designs in 'rstan' License: GPL (>= 3) URL: https://cran.r-project.org/package=%{packname} Source0: %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz BuildRequires: R-devel >= 3.5.0 Requires: R-core >= 3.5.0 BuildRequires: R-CRAN-RcppParallel >= 5.0.2 BuildRequires: R-CRAN-tibble >= 3.0.0 BuildRequires: R-CRAN-rstan >= 2.18.2 BuildRequires: R-CRAN-StanHeaders >= 2.18.1 BuildRequires: R-CRAN-tidybayes >= 2.0.3 BuildRequires: R-CRAN-BH >= 1.69.0.1 BuildRequires: R-CRAN-rstantools >= 1.5.1 BuildRequires: R-CRAN-Rcpp >= 1.0.1 BuildRequires: R-CRAN-rlang >= 0.4.5 BuildRequires: R-CRAN-RcppEigen >= 0.3.3.5.0 BuildRequires: R-methods BuildRequires: R-CRAN-dplyr BuildRequires: R-CRAN-purrr BuildRequires: R-CRAN-magrittr BuildRequires: R-CRAN-stringr BuildRequires: R-CRAN-ggplot2 BuildRequires: R-CRAN-gtools BuildRequires: R-CRAN-coda BuildRequires: R-CRAN-binom BuildRequires: R-CRAN-MASS BuildRequires: R-CRAN-rstantools Requires: R-CRAN-tibble >= 3.0.0 Requires: R-CRAN-rstan >= 2.18.2 Requires: R-CRAN-tidybayes >= 2.0.3 Requires: R-CRAN-rstantools >= 1.5.1 Requires: R-CRAN-Rcpp >= 1.0.1 Requires: R-CRAN-rlang >= 0.4.5 Requires: R-methods Requires: R-CRAN-dplyr Requires: R-CRAN-purrr Requires: R-CRAN-magrittr Requires: R-CRAN-stringr Requires: R-CRAN-ggplot2 Requires: R-CRAN-gtools Requires: R-CRAN-coda Requires: R-CRAN-binom Requires: R-CRAN-MASS Requires: R-CRAN-rstantools %description A collection of clinical trial designs and methods, implemented in 'rstan' and R, including: the Continual Reassessment Method by O'Quigley et al. (1990) ; EffTox by Thall & Cook (2004) ; the two-parameter logistic method of Neuenschwander, Branson & Sponer (2008) ; and the Augmented Binary method by Wason & Seaman (2013) ; and more. We provide functions to aid model-fitting and analysis. The 'rstan' implementations may also serve as a cookbook to anyone looking to extend or embellish these models. We hope that this package encourages the use of Bayesian methods in clinical trials. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a method you would like implemented, please get in touch. %prep %setup -q -c -n %{packname} # fix end of executable files find -type f -executable -exec grep -Iq . {} \; -exec sed -i -e '$a\' {} \; # prevent binary stripping [ -d %{packname}/src ] && find %{packname}/src -type f -exec \ sed -i 's@/usr/bin/strip@/usr/bin/true@g' {} \; || true [ -d %{packname}/src ] && find %{packname}/src/Make* -type f -exec \ sed -i 's@-g0@@g' {} \; || true # don't allow local prefix in executable scripts find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' {} \; %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 # remove buildroot from installed files find %{buildroot}%{rlibdir} -type f -exec sed -i "s@%{buildroot}@@g" {} \; %files %{rlibdir}/%{packname}