File R-PowerTOST.spec of Package R-PowerTOST

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File R-PowerTOST.spec of Package R-PowerTOST

%global packname  PowerTOST
%global rlibdir   %{_libdir}/R/library

Name:           R-%{packname}
Version:        1.3_5
Release:        1
Summary:        Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies

Group:          Development/Libraries/Other
License:        GPL-2.0
URL:            http://cran.r-project.org/web/packages/%{packname}
Source0:        PowerTOST_1.3-5.tar.gz
BuildRoot:      %{_tmppath}/%{name}-%{version}-build
Requires:       R-base
Requires:       R-mvtnorm

# Package suggestions
#Requires:         R-crossdes 
BuildRequires:  texlive
BuildRequires:  texinfo
BuildRequires:  fdupes
#
%if 0%{?suse_version} <= 1220 && 0%{?suse_version} != 1110
BuildRequires:  texlive-fonts-extra
%endif

BuildRequires:    R-base-devel 
BuildRequires:    R-mvtnorm
# Package suggestions, not required to build
#BuildRequires: R-crossdes

%description
Contains functions to calculate power and sample size for various study
designs used for bioequivalence studies. See function known.designs() for
study designs covered. Moreover the package contains functions for power
and sample size based on 'expected' power in case of uncertain (estimated)
variability. ----- Added are functions for the power and sample size for
the ratio of two means with normally distributed data on the original
scale (based on Fieller's confidence ('fiducial') interval). -----
Contains further functions for power and sample size calculations based on
non-inferiority t-test. This is not a TOST procedure but eventually useful
if the question of 'non-superiority' must be evaluated. The power and
sample size calculations based on non-inferiority test may also performed
via 'expected' power in case of uncertain (estimated) variability. -----
Contains functions power.scABEL() and sampleN.scABEL() to calculate power
and sample size for the BE decision via scaled (widened) BE acceptance
limits (EMA recommended) based on simulations. Contains also functions
scABEL.ad() and sampleN.scABEL.ad() to iteratively adjust alpha in order
to maintain the consumer risk in ABEL studies and adapt the sample size
for the loss in power. Contains further functions power.RSABE() and
sampleN.RSABE() to calculate power and sample size for the BE decision via
reference scaled ABE criterion according to the FDA procedure based on
simulations. Contains further functions power.NTIDFDA() and
sampleN.NTIDFDA() to calculate power and sample size for the BE decision
via the FDA procedure for NTID's based on simulations. Contains further
functions power.HVNTID() and sampleN.HVNTID() to calculate power and
sample size for the BE decision via the FDA procedure for highly variable
NTID's (see FDA Dabigatran / rivaroxaban guidances) ----- Contains
functions for power analysis of a sample size plan for ABE (pa.ABE()),
scaled ABE (pa.scABE()) and scaled ABE for NTID's (pa.NTIDFDA()) analysing
power if deviating from assumptions of the plan. ----- Contains further
functions for power calculations / sample size estimation for dose
proportionality studies using the Power model.

%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
%defattr(-, root, root, -)
%dir %{rlibdir}/%{packname}
%doc %{rlibdir}/%{packname}/doc
%doc %{rlibdir}/%{packname}/tests
%doc %{rlibdir}/%{packname}/html
%doc %{rlibdir}/%{packname}/DESCRIPTION
%doc %{rlibdir}/%{packname}/NEWS
%{rlibdir}/%{packname}/INDEX
%{rlibdir}/%{packname}/NAMESPACE
%{rlibdir}/%{packname}/Meta
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%{rlibdir}/%{packname}/help

%changelog

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File R-PowerTOST.spec of Package R-PowerTOST

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