Smooth Non-Parametric Frontier Analysis R package snfa version 0.0.1 Fitting of non-parametric production frontiers for use in efficiency analysis. Methods are provided for both a smooth analogue of Data Envelopment Analysis (DEA) and a non-parametric analogue of Stochastic Frontier Analysis (SFA). Frontiers are constructed for multiple inputs and a single output using constrained kernel smoothing as in Racine et al. (2009), which allow for the imposition of monotonicity and concavity constraints on the estimated frontier. Software Depends: R (>= 3.5.0) Imports: abind (>= 1.4.5), ggplot2 (>= 3.1.0), prodlim (>= 2018.4.18), quadprog (>= 1.5.5), Rdpack (>= 0.10.1), rootSolve (>= 1.7) Taylor McKenzie <tkmckenzie@gmail.com> Comprehensive R Archive Network (CRAN) Taylor McKenzie [aut, cre] GPL-3 2018-12-01 application/tgz https://CRAN.R-project.org/package=snfa doi:10.32614/CRAN.package.snfa