File R-NonProbEst.spec of Package R-NonProbEst

# Automatically generated by CRAN2OBS
# 
# Spec file for package NonProbEst 
# This file is auto-generated using information in the package source, 
# esp. Description and Summary. Improvements in that area should be 
# discussed with upstream. 
# 
# Copyright (c) 2025 SUSE LINUX GmbH, Nuernberg, Germany. 
# 
# All modifications and additions to the file contributed by third parties 
# remain the property of their copyright owners, unless otherwise agreed 
# upon. The license for this file, and modifications and additions to the 
# file, is the same license as for the pristine package itself (unless the 
# license for the pristine package is not an Open Source License, in which 
# case the license is the MIT License). An "Open Source License" is a 
# license that conforms to the Open Source Definition (Version 1.9) 
# published by the Open Source Initiative. 
#  
# Please submit bugfixes or comments via http://bugs.opensuse.org/ 
# 
 
%global packname  NonProbEst 
%global rlibdir   %{_libdir}/R/library 
 
Name:           R-%{packname} 
Version:        0.2.4 
Release:        0 
Summary:        Estimation in Nonprobability Sampling 
Group:          Development/Libraries/Other 
License:        GPL (>= 2) 
URL:            http://cran.r-project.org/web/packages/%{packname} 
Source:         NonProbEst_0.2.4.tar.gz 
Requires:       R-base 
Requires:	R-caret
Requires:	R-sampling
Requires:	R-e1071
Requires:	R-glmnet
Requires:	R-ggplot2
Requires:	R-foreach
Requires:	R-ModelMetrics
Requires:	R-plyr
Requires:	R-pROC
Requires:	R-recipes
Requires:	R-reshape2
Requires:	R-withr
Requires:	R-proxy
Requires:	R-shape
Requires:	R-Rcpp
Requires:	R-RcppEigen
Requires:	R-lpSolve
Requires:	R-iterators
Requires:	R-cli
Requires:	R-glue
Requires:	R-gtable
Requires:	R-isoband
Requires:	R-lifecycle
Requires:	R-rlang
Requires:	R-scales
Requires:	R-tibble
Requires:	R-vctrs
Requires:	R-data.table
Requires:	R-dplyr
Requires:	R-clock
Requires:	R-generics
Requires:	R-gower
Requires:	R-hardhat
Requires:	R-ipred
Requires:	R-lubridate
Requires:	R-magrittr
Requires:	R-purrr
Requires:	R-sparsevctrs
Requires:	R-tidyr
Requires:	R-tidyselect
Requires:	R-timeDate
Requires:	R-stringr
Requires:	R-tzdb
Requires:	R-cpp11
Requires:	R-pillar
Requires:	R-R6
Requires:	R-prodlim
Requires:	R-timechange
Requires:	R-farver
Requires:	R-labeling
Requires:	R-RColorBrewer
Requires:	R-viridisLite
Requires:	R-stringi
Requires:	R-pkgconfig
Requires:	R-utf8
Requires:	R-diagram
Requires:	R-lava
Requires:	R-future.apply
Requires:	R-numDeriv
Requires:	R-progressr
Requires:	R-SQUAREM
Requires:	R-future
Requires:	R-globals
Requires:	R-digest
Requires:	R-listenv
Requires:	R-parallelly
 
# %%if 0%%{?sle_version} > 120400 || 0%%{?is_opensuse} 
# # Three others commonly needed 
# BuildRequires:  tex(ae.sty) 
# BuildRequires:  tex(fancyvrb.sty) 
# BuildRequires:  tex(inconsolata.sty) 
# BuildRequires:  tex(natbib.sty) 
# %else 
# BuildRequires:  texlive 
# %endif 
# BuildRequires:  texinfo 
BuildRequires:  fdupes 
BuildRequires:  R-base 
BuildRequires: 	R-caret
BuildRequires: 	R-sampling
BuildRequires: 	R-e1071
BuildRequires: 	R-glmnet
BuildRequires: 	R-ggplot2
BuildRequires: 	R-foreach
BuildRequires: 	R-ModelMetrics
BuildRequires: 	R-plyr
BuildRequires: 	R-pROC
BuildRequires: 	R-recipes
BuildRequires: 	R-reshape2
BuildRequires: 	R-withr
BuildRequires: 	R-proxy
BuildRequires: 	R-shape
BuildRequires: 	R-Rcpp-devel
BuildRequires: 	R-RcppEigen-devel
BuildRequires: 	R-lpSolve
BuildRequires: 	R-iterators
BuildRequires: 	R-cli
BuildRequires: 	R-glue
BuildRequires: 	R-gtable
BuildRequires: 	R-isoband
BuildRequires: 	R-lifecycle
BuildRequires: 	R-rlang
BuildRequires: 	R-scales
BuildRequires: 	R-tibble
BuildRequires: 	R-vctrs
BuildRequires: 	R-data.table
BuildRequires: 	R-dplyr
BuildRequires: 	R-clock
BuildRequires: 	R-generics
BuildRequires: 	R-gower
BuildRequires: 	R-hardhat
BuildRequires: 	R-ipred
BuildRequires: 	R-lubridate
BuildRequires: 	R-magrittr
BuildRequires: 	R-purrr
BuildRequires: 	R-sparsevctrs
BuildRequires: 	R-tidyr
BuildRequires: 	R-tidyselect
BuildRequires: 	R-timeDate
BuildRequires: 	R-stringr
BuildRequires: 	R-tzdb
BuildRequires: 	R-cpp11-devel
BuildRequires: 	R-pillar
BuildRequires: 	R-R6
BuildRequires: 	R-prodlim
BuildRequires: 	R-timechange
BuildRequires: 	R-farver
BuildRequires: 	R-labeling
BuildRequires: 	R-RColorBrewer
BuildRequires: 	R-viridisLite
BuildRequires: 	R-stringi
BuildRequires: 	R-pkgconfig
BuildRequires: 	R-utf8
BuildRequires: 	R-diagram
BuildRequires: 	R-lava
BuildRequires: 	R-future.apply
BuildRequires: 	R-numDeriv
BuildRequires: 	R-progressr
BuildRequires: 	R-SQUAREM
BuildRequires: 	R-future
BuildRequires: 	R-globals
BuildRequires: 	R-digest
BuildRequires: 	R-listenv
BuildRequires: 	R-parallelly
 
%description 
Different inference procedures are proposed in the literature to 
correct for selection bias that might be introduced with non-random 
selection mechanisms. A class of methods to correct for selection bias 
is to apply a statistical model to predict the units not in the sample 
(super-population modeling). Other studies use calibration or 
Statistical Matching (statistically match nonprobability and 
probability samples). To date, the more relevant methods are weighting 
by Propensity Score Adjustment (PSA). The Propensity Score Adjustment 
method was originally developed to construct weights by estimating 
response probabilities and using them in Horvitz–Thompson type 
estimators. This method is usually used by combining a non-probability 
sample with a reference sample to construct propensity models for the 
non-probability sample. Calibration can be used in a posterior way to 
adding information of auxiliary variables. Propensity scores in PSA are 
usually estimated using logistic regression models. Machine learning 
classification algorithms can be used as alternatives for logistic 
regression as a technique to estimate propensities. The package 
'NonProbEst' implements some of these methods and thus provides a wide 
options to work with data coming from a non-probabilistic sample. 
 
%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
%{rlibdir}/%{packname}/R
%{rlibdir}/%{packname}/data
%doc %{rlibdir}/%{packname}/help
%doc %{rlibdir}/%{packname}/html
 
%changelog 
openSUSE Build Service is sponsored by