Smoothed Empirical Likelihood R package smoothemplik version 0.0.17 Empirical likelihood methods for asymptotically efficient estimation of models based on conditional or unconditional moment restrictions; see Kitamura, Tripathi & Ahn (2004) <doi:10.1111/j.1468-0262.2004.00550.x> and Owen (2013) <doi:10.1002/cjs.11183>. Kernel-based non-parametric methods for density/regression estimation and numerical routines for empirical likelihood maximisation are implemented in 'Rcpp' for speed. Software Depends: R (>= 3.0.0) Imports: parallel, Rcpp, RcppParallel, Rdpack, Matrix, data.table LinkingTo: Rcpp, RcppArmadillo, RcppParallel, testthat Suggests: knitr, rmarkdown, testthat (>= 3.0.0), xml2 Andreï Victorovitch Kostyrka <andrei.kostyrka@gmail.com> Comprehensive R Archive Network (CRAN) Andreï Victorovitch Kostyrka [aut, cre] EUPL 2025-10-29 application/tgz https://CRAN.R-project.org/package=smoothemplik doi:10.32614/CRAN.package.smoothemplik