File R-rmda.spec of Package R-rmda
# Automatically generated by CRAN2OBS
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# Spec file for package rmda
# This file is auto-generated using information in the package source,
# esp. Description and Summary. Improvements in that area should be
# discussed with upstream.
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%global packname rmda
%global rlibdir %{_libdir}/R/library
Name: R-%{packname}
Version: 1.6
Release: 0
Summary: Risk Model Decision Analysis
Group: Development/Libraries/Other
License: GPL-2
URL: http://cran.r-project.org/web/packages/%{packname}
Source: rmda_1.6.tar.gz
Requires: R-base
Requires: R-reshape
Requires: R-pander
Requires: R-caret
Requires: R-ggplot2
Requires: R-e1071
Requires: R-foreach
Requires: R-ModelMetrics
Requires: R-plyr
Requires: R-pROC
Requires: R-recipes
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Requires: R-withr
Requires: R-digest
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Requires: R-gtable
Requires: R-isoband
Requires: R-lifecycle
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Requires: R-dplyr
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Requires: R-tidyr
Requires: R-tidyselect
Requires: R-timeDate
Requires: R-stringr
Requires: R-tzdb
Requires: R-cpp11
Requires: R-pillar
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Requires: R-prodlim
Requires: R-timechange
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Requires: R-diagram
Requires: R-lava
Requires: R-shape
Requires: R-future.apply
Requires: R-numDeriv
Requires: R-progressr
Requires: R-SQUAREM
Requires: R-future
Requires: R-globals
Requires: R-listenv
Requires: R-parallelly
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse}
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BuildRequires: R-ModelMetrics
BuildRequires: R-plyr
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BuildRequires: R-reshape2
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BuildRequires: R-vctrs
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BuildRequires: R-clock
BuildRequires: R-generics
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%description
Provides tools to evaluate the value of using a risk prediction
instrument to decide treatment or intervention (versus no treatment or
intervention). Given one or more risk prediction instruments (risk
models) that estimate the probability of a binary outcome, rmda
provides functions to estimate and display decision curves and other
figures that help assess the population impact of using a risk model
for clinical decision making. Here, "population" refers to the
relevant patient population. Decision curves display estimates of the
(standardized) net benefit over a range of probability thresholds used
to categorize observations as 'high risk'. The curves help evaluate a
treatment policy that recommends treatment for patients who are
estimated to be 'high risk' by comparing the population impact of a
risk-based policy to "treat all" and "treat none" intervention
policies. Curves can be estimated using data from a prospective
cohort. In addition, rmda can estimate decision curves using data from
a case-control study if an estimate of the population outcome
prevalence is available. Version 1.4 of the package provides an
alternative framing of the decision problem for situations where
treatment is the standard-of-care and a risk model might be used to
recommend that low-risk patients (i.e., patients below some risk
threshold) opt out of treatment. Confidence intervals calculated using
the bootstrap can be computed and displayed. A wrapper function to
calculate cross-validated curves using k-fold cross-validation is also
provided.
%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
%doc %{rlibdir}/%{packname}/NEWS
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
%{rlibdir}/%{packname}/notes
%changelog
