TemporalModelR
0.3.0Temporally Explicit Species Distribution Modelling
Overview
Increases the ease of implementing a temporally-explicit modeling methodology when building ecological niche and species distribution models. Provides functions to assist with three major steps of temporally-explicit models: (i) preprocessing species and environmental data and generating suitable background or pseudoabsence data, (ii) building a niche model and generating temporally-explicit predictions from that model, and (iii) model postprocessing to explore spatiotemporal trends in model predictions. Methodological and theoretical foundations are described in Ingenloff and Peterson (2021) doi:10.1111/2041-210X.13564, Franklin (2010, ISBN:9780521700023), Peterson et al. (2011, ISBN:9780691136882), Blonder (2018) doi:10.1111/ecog.03187, Senay et al. (2013) doi:10.1371/journal.pone.0071218, and Li and Zhang (2024) doi:10.48550/arXiv.2404.05933.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-017 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 93%
- Documented parameters
- 97%
- Return-value docs
- 100%
- References docs
- 4%
Downloads
Repository
Repository practices
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/cjhughes926/temporalmodelr on 2026-08-02.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.3.0Latest
- 0.2.02026-06-30
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-30
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1
- Bundled data
- 372 KB / 10 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet