CRAN/E | dsfa

dsfa

Distributional Stochastic Frontier Analysis

Installation

About

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.

System requirements C++17

Key Metrics

Version 2.0.2
R ≥ 3.5.0
Published 2023-07-19 254 days ago
Needs compilation? yes
License MIT
License File
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Maintainer

Maintainer

Rouven Schmidt

rouven.schmidt@tu-clausthal.de

Authors

Rouven Schmidt

aut / cre

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dsfa archive

Depends

R ≥ 3.5.0

Imports

mgcv
stats
Rdpack
Rcpp
RcppArmadillo
copula
gratia

Suggests

plm
sfaR

LinkingTo

Rcpp
RcppArmadillo