Nonparametric efficiency measurement and statistical inference via DEA type of estimators (see e.g., Kneip, Simar, and Wilson (2008) <doi:10.1017/S0266466608080651> and Badunenko and Mozharovskyi (2020) <doi:10.1080/01605682.2019.1599778>) as well as Stochastic Frontier estimators for both cross-sectional data and 1st, 2nd, and 4th generation models for panel data (see e.g., Kumbhakar and Lovell (2003), Badunenko and Kumbhakar (2016) <doi:10.1016/j.ejor.2016.04.049>). The stochastic frontier estimators can handle both half-normal and truncated normal models with conditional mean and heteroskedasticity. The marginal effects of determinants can be obtained.

Nonparametric efficiency measurement and statistical inference via DEA type estimators (see Färe, Grosskopf, and Lovell (1994) <doi:10.1017/CBO9780511551710>, Kneip, Simar, and Wilson (2008) <doi:10.1017/S0266466608080651> and Badunenko and Mozharovskyi (2020) <doi:10.1080/01605682.2019.1599778>) as well as Stochastic Frontier estimators for both cross-sectional data and 1st, 2nd, and 4th generation models for panel data (see Kumbhakar and Lovell (2003) <doi:10.1017/CBO9781139174411>, Badunenko and Kumbhakar (2016) <doi:10.1016/j.ejor.2016.04.049>). The stochastic frontier estimators can handle both half-normal and truncated normal models with conditional mean and heteroskedasticity. The marginal effects of determinants can be obtained.

Package for Nonparametric Statistical Methods using R
Functions and datasets used in the book Nonparametric Statistical Methods using R.

Functions and datasets used in the book Nonparametric Statistical Methods Using R.

Multidimensional nonparametric spatio-temporal geostatistics.
S3 classes and methods for multidimensional: gridded data, linear binning,
local polynomial kernel regression, density and variogram estimation.
Nonparametric methods for trend and/or variogram inferences.

Multidimensional nonparametric spatio-temporal (geo)statistics.
S3 classes and methods for multidimensional: linear binning,
local polynomial kernel regression, density and variogram estimation.
Nonparametric methods for trend and variogram inference.