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 26 Aug. 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
clinUtils
Utility functions to facilitate the import,
the reporting and analysis of clinical data.
Example ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Laure Cougnaud (view profile)
PCADSC
A suite of non-parametric, visual tools for assessing differences in data structures
for two datase ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Anne H. Petersen (view profile)
SelvarMix
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mohammed Sedki (view profile)
ncodeR
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Cody L Marquart (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
leafgl
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Tim Appelhans (view profile)
28,332
R Packages
239,283
Dependencies
75,113
Author Associations
28,333
Publication Badges
