Package: dsfa
Title: Distributional Stochastic Frontier Analysis
Version: 2.0.2
Authors@R: c(person(given = "Rouven",
           family = "Schmidt",
           role = c("aut", "cre"),
           email = "rouven.schmidt@tu-clausthal.de"))
Description: Framework to fit distributional stochastic frontier models. Casts the stochastic frontier model into the flexible framework of distributional regression or otherwise known as General Additive Models of Location, Scale and Shape (GAMLSS). Allows for linear, non-linear, random and spatial effects on all the parameters of the distribution of the output, e.g. effects on the production or cost function, heterogeneity of the noise and inefficiency. Available distributions are the normal-halfnormal and normal-exponential distribution. Estimation via the fast and reliable routines of the 'mgcv' package. For more details see <doi:10.1016/j.csda.2023.107796>.
Imports: mgcv, stats, Rdpack, Rcpp, RcppArmadillo, copula, gratia
Suggests: plm, sfaR
Depends: R (>= 3.5.0)
NeedsCompilation: yes
SystemRequirements: C++17
License: MIT + file LICENSE
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
RdMacros: Rdpack
LazyData: true
RoxygenNote: 7.2.3
Packaged: 2023-07-19 14:58:34 UTC; Rouven
Author: Rouven Schmidt [aut, cre]
Maintainer: Rouven Schmidt <rouven.schmidt@tu-clausthal.de>
Repository: CRAN
Date/Publication: 2023-07-19 21:40:16 UTC
Built: R 4.4.0; x86_64-apple-darwin20.6.0; 2024-04-28 17:21:14 UTC; unix
