pgt
0.5.0Data Envelopment Analysis for Pollution-Generating Technologies
Overview
Nonparametric efficiency analysis for pollution-generating technologies under the materials-balance principle. Implements the weak-G-disposability model of Rodseth (2025) doi:10.1007/s11123-025-00768-0 and its factorially determined multi-output representation, the by-production intersection technology of Murty, Russell and Levkoff (2012) doi:10.1016/j.jeem.2012.02.005, the materials-balance cost model of Coelli, Lauwers and Van Huylenbroeck (2007) doi:10.1007/s11123-007-0052-8 and a weak-disposability reference model, with an enforced materials-balance identity, a pre-estimation feasibility audit, metafrontier decompositions, bad-output shadow prices, marginal abatement cost curves, a cross-axiom comparison harness, a global Malmquist-Luenberger productivity index and subsampling inference. Estimators are solved with 'lpSolveAPI'.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0111 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-297 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 89%
- Return-value docs
- 100%
- References docs
- 69%
Downloads
Repository
Stars over time
Commits over time
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/iik1/pgt on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 0.5.0Latest2026-07-28 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-28
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 9.6 KB / 2 files
- Download size
- 176 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("pgt")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.