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smoothemplik: Smoothed Empirical Likelihood
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.
Getting started
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Package details |
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| Author | Andreï Victorovitch Kostyrka [aut, cre] |
| Maintainer | Andreï Victorovitch Kostyrka <andrei.kostyrka@gmail.com> |
| License | EUPL |
| Version | 0.0.15 |
| URL | https://github.com/Fifis/smoothemplik |
| Package repository | View on CRAN |
| Installation |
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