R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
oppr
View on CRAN: Click
here
Download and install oppr package within the R console
Install from CRAN:
install.packages("oppr")
Install from Github:
library("remotes")
install_github("cran/oppr") Install by package version:
library("remotes")
install_version("oppr", "1.0.5") Attach the package and use:
library("oppr")
Maintained by
Jeffrey O Hanson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-18
Latest Update: 2025-06-27
Description:
A decision support tool for prioritizing conservation projects.
Prioritizations can be developed by maximizing expected feature richness,
expected phylogenetic diversity, the number of features that meet
persistence targets, or identifying a set of projects that meet persistence
targets for minimal cost. Constraints (e.g. lock in specific actions) and
feature weights can also be specified to further customize prioritizations.
After defining a project prioritization problem, solutions can be obtained
using exact algorithms, heuristic algorithms, or random processes. In
particular, it is recommended to install the 'Gurobi' optimizer (available
from ) because it can identify optimal solutions
very quickly. Finally, methods are provided for comparing different
prioritizations and evaluating their benefits. For more information, see
Hanson et al. (2019) .
How to cite:
Jeffrey O Hanson (2019). oppr: Optimal Project Prioritization. R package version 1.0.5, https://cran.r-project.org/web/packages/oppr. Accessed 06 Mar. 2026.
Previous versions and publish date:
Other packages that cited oppr R package
View oppr citation profile
Other R packages that oppr depends,
imports, suggests or enhances
Complete documentation for oppr
Functions, R codes and Examples using
the oppr R package
Some associated functions: ArrayParameter-class . Collection-class . Constraint-class . Decision-class . MiscParameter-class . Objective-class . OptimizationProblem-class . OptimizationProblem-methods . Parameter-class . Parameters-class . ProjectModifier-class . ProjectProblem-class . ScalarParameter-class . Solver-class . Target-class . Weight-class . action_names . add_absolute_targets . add_binary_decisions . add_default_solver . add_feature_weights . add_gurobi_solver . add_heuristic_solver . add_locked_in_constraints . add_locked_out_constraints . add_lpsolveapi_solver . add_lsymphony_solver . add_manual_locked_constraints . add_manual_targets . add_max_phylo_div_objective . add_max_richness_objective . add_max_targets_met_objective . add_min_set_objective . add_random_solver . add_relative_targets . add_rsymphony_solver . array_parameters . as.list . as . branch_matrix . compile . constraints . decisions . feature_names . is . matrix_parameters . misc_parameter . new_id . new_optimization_problem . new_waiver . number_of_actions . number_of_features . number_of_projects . objectives . oppr . parameters . pipe . plot.ProjectProblem . plot_feature_persistence . plot_phylo_persistence . pproto . print . problem . project_cost_effectiveness . project_names . replacement_costs . scalar_parameters . show . sim_data . simulate_ppp_data . simulate_ptm_data . solution_statistics . solve . solvers . targets . tee . tibble-methods . weights .
Some associated R codes: ArrayParameter-proto.R . Collection-proto.R . Constraint-proto.R . Decision-proto.R . Id.R . MiscParameter-proto.R . Objective-proto.R . OptimizationProblem-methods.R . OptimizationProblem-proto.R . Parameter-proto.R . Parameters-proto.R . ProjectModifier-proto.R . ProjectProblem-proto.R . RcppExports.R . ScalarParameter-proto.R . Solver-proto.R . Target-proto.R . Weight-proto.R . action_names.R . add_absolute_targets.R . add_binary_decisions.R . add_default_solver.R . add_feature_weights.R . add_gurobi_solver.R . add_heuristic_solver.R . add_locked_in_constraints.R . add_locked_out_constraints.R . add_lpsolveapi_solver.R . add_lpsymphony_solver.R . add_manual_locked_constraints.R . add_manual_targets.R . add_max_phylo_div_objective.R . add_max_richness_objective.R . add_max_targets_met_objective.R . add_min_set_objective.R . add_random_solver.R . add_relative_targets.R . add_rsymphony_solver.R . branch_matrix.R . compile.R . constraints.R . data.R . decisions.R . feature_names.R . internal.R . magrittr-operators.R . misc.R . new_optimization_problem.R . number_of_actions.R . number_of_features.R . number_of_projects.R . objectives.R . package.R . parameters.R . plot.R . plot_feature_persistence.R . plot_phylo_persistence.R . pproto.R . predefined_optimization_problem.R . print.R . problem.R . project_cost_effectiveness.R . project_names.R . rake_phylogeny.R . replacement_costs.R . show.R . simulate_ppp_data.R . simulate_ptm_data.R . solution_statistics.R . solve.R . solvers.R . star_phylogeny.R . targets.R . tbl_df.R . waiver.R . weights.R . zzz.R . Full oppr package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
EMVS
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Gemma Moran (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
lbfgs
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Antonio Coppola (view profile)
mlr3viz
Visualization package of the 'mlr3' ecosystem. It features plots
for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Marc Becker (view profile)
DatabionicSwarm
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Michael Thrun (view profile)
openxlsx
Simplifies the creation of Excel .xlsx files by providing a
high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jan Marvin Garbuszus (view profile)
26,264
R Packages
223,360
Dependencies
70,376
Author Associations
26,265
Publication Badges
