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.
| Version: | 0.0.17 |
| 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 |
| Published: | 2025-10-29 |
| DOI: | 10.32614/CRAN.package.smoothemplik |
| Author: | Andreï Victorovitch Kostyrka [aut, cre] |
| Maintainer: | Andreï Victorovitch Kostyrka <andrei.kostyrka at gmail.com> |
| BugReports: | https://github.com/Fifis/smoothemplik/issues |
| License: | EUPL version 1.1 | EUPL version 1.2 [expanded from: EUPL] |
| URL: | https://github.com/Fifis/smoothemplik |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Citation: | smoothemplik citation info |
| Materials: | README, NEWS |
| CRAN checks: | smoothemplik results |
| Reference manual: | smoothemplik.html , smoothemplik.pdf |
| Vignettes: |
Choosing weights for empirical likelihood smoothing (source, R code) Using Rcpp to speed up non-parametric estimation in R (source, R code) |
| Package source: | smoothemplik_0.0.17.tar.gz |
| Windows binaries: | r-devel: smoothemplik_0.0.16.zip, r-release: smoothemplik_0.0.16.zip, r-oldrel: smoothemplik_0.0.15.zip |
| macOS binaries: | r-release (arm64): smoothemplik_0.0.17.tgz, r-oldrel (arm64): smoothemplik_0.0.17.tgz, r-release (x86_64): smoothemplik_0.0.17.tgz, r-oldrel (x86_64): smoothemplik_0.0.17.tgz |
| Old sources: | smoothemplik archive |
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