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dsfa  

Distributional Stochastic Frontier Analysis
View on CRAN: Click here


Download and install dsfa package within the R console
Install from CRAN:
install.packages("dsfa")

Install from Github:
library("remotes")
install_github("cran/dsfa")

Install by package version:
library("remotes")
install_version("dsfa", "2.0.2")



Attach the package and use:
library("dsfa")
Maintained by
Rouven Schmidt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-07
Latest Update:
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 .
How to cite:
Rouven Schmidt (2022). dsfa: Distributional Stochastic Frontier Analysis. R package version 2.0.2, https://cran.r-project.org/web/packages/dsfa. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:33), 0.0.3 (2022-09-07 10:30), 1.0.0 (2022-09-26 15:00), 1.0.1 (2022-11-04 17:30), 2.0.0 (2023-02-03 12:22), 2.0.1 (2023-05-10 00:30), 2.0.2 (2023-07-19 23:40)
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