%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  DHARMa
%global packver   0.4.6
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          0.4.6
Release:          1%{?dist}%{?buildtag}
Summary:          Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models

License:          GPL (>= 3)
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-qgam >= 1.3.2
BuildRequires:    R-stats 
BuildRequires:    R-graphics 
BuildRequires:    R-utils 
BuildRequires:    R-grDevices 
BuildRequires:    R-CRAN-Matrix 
BuildRequires:    R-parallel 
BuildRequires:    R-CRAN-gap 
BuildRequires:    R-CRAN-lmtest 
BuildRequires:    R-CRAN-ape 
BuildRequires:    R-CRAN-lme4 
Requires:         R-CRAN-qgam >= 1.3.2
Requires:         R-stats 
Requires:         R-graphics 
Requires:         R-utils 
Requires:         R-grDevices 
Requires:         R-CRAN-Matrix 
Requires:         R-parallel 
Requires:         R-CRAN-gap 
Requires:         R-CRAN-lmtest 
Requires:         R-CRAN-ape 
Requires:         R-CRAN-lme4 

%description
The 'DHARMa' package uses a simulation-based approach to create readily
interpretable scaled (quantile) residuals for fitted (generalized) linear
mixed models. Currently supported are linear and generalized linear
(mixed) models from 'lme4' (classes 'lmerMod', 'glmerMod'), 'glmmTMB'
'GLMMadaptive' and 'spaMM', generalized additive models ('gam' from
'mgcv'), 'glm' (including 'negbin' from 'MASS', but excluding
quasi-distributions) and 'lm' model classes. Moreover, externally created
simulations, e.g. posterior predictive simulations from Bayesian software
such as 'JAGS', 'STAN', or 'BUGS' can be processed as well. The resulting
residuals are standardized to values between 0 and 1 and can be
interpreted as intuitively as residuals from a linear regression. The
package also provides a number of plot and test functions for typical
model misspecification problems, such as over/underdispersion,
zero-inflation, and residual spatial and temporal autocorrelation.

%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}