%global __brp_check_rpaths %{nil}
%global __requires_exclude ^libmpi
%global packname  Rdistance
%global packver   4.0.5
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          4.0.5
Release:          1%{?dist}%{?buildtag}
Summary:          Density and Abundance from Distance-Sampling Surveys

License:          GNU General Public License
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel >= 4.1.0
Requires:         R-core >= 4.1.0
BuildArch:        noarch
BuildRequires:    R-CRAN-units 
BuildRequires:    R-graphics 
BuildRequires:    R-stats 
BuildRequires:    R-utils 
BuildRequires:    R-CRAN-crayon 
BuildRequires:    R-CRAN-withr 
BuildRequires:    R-CRAN-tidyr 
BuildRequires:    R-CRAN-dplyr 
BuildRequires:    R-CRAN-progress 
BuildRequires:    R-CRAN-tibble 
BuildRequires:    R-CRAN-tidyselect 
Requires:         R-CRAN-units 
Requires:         R-graphics 
Requires:         R-stats 
Requires:         R-utils 
Requires:         R-CRAN-crayon 
Requires:         R-CRAN-withr 
Requires:         R-CRAN-tidyr 
Requires:         R-CRAN-dplyr 
Requires:         R-CRAN-progress 
Requires:         R-CRAN-tibble 
Requires:         R-CRAN-tidyselect 

%description
Distance-sampling (<doi:10.1007/978-3-319-19219-2>) estimates density and
abundance of survey targets (e.g., animals) when detection probability
declines with distance. Distance-sampling is popular in ecology,
especially when survey targets are observed from aerial platforms (e.g.,
airplane or drone), surface vessels (e.g., boat or truck), or along
walking transects. Distance-sampling includes line-transect studies that
measure observation distances as the closest approach of the sample route
(transect) to the target (i.e., perpendicular off-transect distance), and
point-transect studies that measure observation distances from stationary
observers to the target (i.e., radial distance). The routines included
here fit smooth (parametric) curves to histograms of observation distances
and use those functions to compute effective sampling distances, density
of targets in the surveyed area, and abundance of targets in a surrounding
study area. Curve shapes include the half-normal, hazard rate, and
negative exponential functions. Physical measurement units are required
and used throughout to ensure density is reported correctly. The help
files are extensive and have been vetted by multiple authors.

%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}