TDLM
1.1.4Systematic Comparison of Trip Distribution Laws and Models
Overview
The main purpose of this package is to propose a rigorous framework to fairly compare trip distribution laws and models as described in Lenormand et al. (2016) doi:10.1016/j.jtrangeo.2015.12.008.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 32%
Downloads
Repository
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Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/rtdlm/tdlm on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-03-17
- Total releases
- 7 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 3.1 MB / 10 files
- Download size
- 4.6 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("TDLM")The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.