prioritizr
8.1.0Systematic Conservation Prioritization in R
Overview
Systematic conservation prioritization using mixed integer linear programming (MILP). It provides a flexible interface for building and solving conservation planning problems. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. By using exact algorithm solvers, solutions can be generated that are guaranteed to be optimal (or within a pre-specified optimality gap). Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. To solve large-scale or complex conservation planning problems, users should install the Gurobi optimization software (available from https://www.gurobi.com/) and the 'gurobi' R package (see Gurobi Installation Guide vignette for details). Users can also install the IBM CPLEX software (https://www.ibm.com/products/ilog-cplex-optimization-studio/cplex-optimizer) and the 'cplexAPI' R package (available at https://github.com/cran/cplexAPI). Additionally, the 'rcbc' R package (available at https://github.com/dirkschumacher/rcbc) can be used to generate solutions using the CBC optimization software (https://github.com/coin-or/Cbc). For further details, see Hanson et al. (2025) doi:10.1111/cobi.14376.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
- NOTE r-devel-windows-x86_64
- NOTE2026-07-1611 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2211 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1810 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 11%
- Documented parameters
- 100%
- Return-value docs
- 89%
- References docs
- 37%
Downloads
Repository
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Repository practices
8 development-tooling and community-health practices detected across 7 families in the upstream repository
Checks run against github.com/prioritizr/prioritizr on 2026-08-16.
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Dependencies
Code & Tests
People & History
24 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 8.1.0Latest
- RR 4.5.0 released · 2025-04-11
- 8.0.62025-01-09 · diff ↗
- 8.0.42024-06-05 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 8.0.32023-08-09 · diff ↗
- 8.0.22023-05-01 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 8.0.02023-03-29 · diff ↗
- 7.2.22022-09-17 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 7.1.12021-10-30 · diff ↗
- unarchivedReturned to CRAN2021-10-30
- archivedRemoved from CRAN2021-10-06check problems were not corrected in time
- RR 4.1.0 released · 2021-05-18
Show 23 earlier events
- 7.0.12021-03-31 · diff ↗
- 5.0.32020-11-24 · diff ↗
- 5.0.22020-07-30 · diff ↗
- 5.0.12020-05-15 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 4.1.52020-02-06 · diff ↗
- 4.1.42019-10-03 · diff ↗
- 4.1.32019-09-07 · diff ↗
- 4.1.12019-06-06 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 4.0.42019-04-12 · diff ↗
- 4.0.32019-04-08 · diff ↗
- 4.0.22018-06-28 · diff ↗
- 4.0.12018-05-26 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 3.0.42018-03-25 · diff ↗
- 3.0.32017-11-22 · diff ↗
- 3.0.12017-11-08 · diff ↗
- unarchivedReturned to CRAN2017-11-08
- RR 3.4.0 released · 2017-04-21
- archivedRemoved from CRAN2016-12-27requested by the maintainer, 'Matthew Strimas-Mackey <mstrimas@gmail.com>'
- 0.1.22016-12-01
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-12-01
- Total releases
- 24 / 10 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 4.7 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("prioritizr")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
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