Function reference • raptr

All functions
`AttributeSpace-class`	AttributeSpace: An S4 class to represent an attribute space.
`AttributeSpace()`	Create new AttributeSpace object
`AttributeSpaces-class`	AttributeSpaces: An S4 class to represent a collection of attribute spaces for different species.
`AttributeSpaces()`	Create new AttributeSpaces object
`DemandPoints-class`	DemandPoints: An S4 class to represent demand points
`DemandPoints()`	Create new DemandPoints object
`GurobiOpts-class`	GurobiOpts: An S4 class to represent Gurobi parameters
`GurobiOpts()`	Create GurobiOpts object
`ManualOpts-class`	ManualOpts: An S4 class to represent parameters for manually specified solutions
`ManualOpts()`	Create ManualOpts object
`PlanningUnitPoints-class`	PlanningUnitPoints: An S4 class to represent planning units in an attribute space
`PlanningUnitPoints()`	Create new PlanningUnitPoints object
`PolySet-class` `PolySet`	PolySet
`RapData-class`	RapData: An S4 class to represent RAP input data
`RapData()`	Create new RapData object
`RapOpts-class` `RapOpts`	RapOpts class
`RapReliableOpts-class`	RapReliableOpts: An S4 class to represent input parameters for the reliable formulation of RAP.
`RapReliableOpts()`	Create RapReliableOpts object
`RapResults-class`	RapResults: An S4 class to represent RAP results
`RapResults()`	Create RapResults object
`RapSolved-class`	RapSolved: An S4 class to represent RAP inputs and outputs
`RapSolved()`	Create new RapSolved object
`RapUnreliableOpts-class`	RapUnreliableOpts: An S4 class to represent parameters for the unreliable RAP problem
`RapUnreliableOpts()`	Create RapUnreliableOpts object
`RapUnsolved-class`	RapUnsolved: An S4 class to represent RAP inputs
`RapUnsolved()`	Create a new RapUnsolved object
`SolverOpts-class` `SolverOpts`	SolverOpts class
`amount.held()`	Extract amount held for a solution
`amount.target()` `amount.target<-`()	Amount targets
`as.list(<GurobiOpts>)`	Convert object to list
`blank.raster()`	Blank raster
`calcBoundaryData()`	Calculate boundary data for planning units
`calcSpeciesAverageInPus()`	Calculate average value for species data in planning units
`casestudy_data` `cs_pus` `cs_spp` `cs_space`	Case-study dataset for a conservation planning exercise
`convert2PolySet()`	Convert object to PolySet data
`dp.subset()`	Subset demand points
`is.GurobiInstalled()`	Test if Gurobi is installed
`logging.file()`	Log file
`make.DemandPoints()`	Generate demand points for RAP
`make.RapData()`	Make data for RAP using minimal inputs
`maximum.targets()`	Maximum targets
`names<-`(<RapData>) `names(<RapData>)` `names<-`(<RapUnsolOrSol>) `names(<RapUnsolOrSol>)`	Names
`plot(<RapSolved>,<numeric>)` `plot(<RapSolved>,<missing>)` `plot(<RapSolved>,<RapSolved>)`	Plot object
`print(<AttributeSpace>)` `print(<AttributeSpaces>)` `print(<GurobiOpts>)` `print(<ManualOpts>)` `print(<RapData>)` `print(<RapReliableOpts>)` `print(<RapResults>)` `print(<RapUnreliableOpts>)` `print(<RapUnsolved>)` `print(<RapSolved>)`	Print objects
`prob.subset()`	Subset probabilities above a threshold
`pu.subset()`	Subset planning units
`randomPoints()`	Sample random points from a SpatRaster
`rap()`	Generate prioritizations using RAP
`SpatialPolygons2PolySet()`	Deprecation notice
`raptr` `raptr-package`	raptr: Representative and Adequate Prioritization Toolkit in R
`rrap.proportion.held()`	Proportion held using reliable RAP formulation.
`score()`	Solution score
`selections()`	Extract solution selections
`show(<GurobiOpts>)` `show(<ManualOpts>)` `show(<RapData>)` `show(<RapReliableOpts>)` `show(<RapResults>)` `show(<RapUnreliableOpts>)` `show(<RapUnsolved>)` `show(<RapSolved>)`	Show objects
`sim.pus()`	Simulate planning units
`sim.space()`	Simulate attribute space data for RAP
`sim.species()`	Simulate species distribution data for RAP
`simulated_data` `sim_ru` `sim_rs`	Simulated dataset for a conservation planning exercise
`solve(<RapUnsolOrSol>,<missing>)` `solve(<RapUnsolOrSol>,<GurobiOpts>)` `solve(<RapUnsolOrSol>,<matrix>)` `solve(<RapUnsolOrSol>,<numeric>)` `solve(<RapUnsolOrSol>,<logical>)`	Solve RAP object
`space.held()`	Extract attribute space held for a solution
`space.plot()`	Plot space
`space.target()` `space.target<-`()	Attribute space targets
`spp.plot()`	Plot species
`spp.subset()`	Subset species
`summary`	Summary of solutions
`update(<GurobiOpts>)` `update(<ManualOpts>)` `update(<RapData>)` `update(<RapReliableOpts>)` `update(<RapUnreliableOpts>)` `update(<RapUnsolOrSol>)`	Update object
`urap.proportion.held()`	Proportion held using unreliable RAP formulation.

Reference

All functions