voteR: Spatial Voting Models in R

Takes a voter data frame, a competitor position data frame, the voters utility values for all competitors over the past two time periods and the voteTotals of all competitors from the past 2 time periods and applies the appropriate adaptation rule for each competitor based on their competitor type.

competitorsAdapt(
  competitorDataFrameCompetitorAdapts,
  voteTotalsForCompetitorsOldCompetitorAdapts,
  voteTotalsForCompetitorsNewCompetitorAdapts,
  seatAllocationForCompetitorsNewCompetitorAdapts,
  seatAllocationForCompetitorsOldCompetitorAdapts,
  electoralFormulaCompetitorAdapts,
  scaledCompetitorAdaptStepSizeCompetitorAdapts,
  dimOneBoundsCompetitorsAdapt,
  dimTwoBoundsCompetitorsAdapt
)

`competitorDataFrameCompetitorAdapts`	a voteR dataFrame that contains the competitorID, current location, and comeptitor type for each competitor.
`voteTotalsForCompetitorsOldCompetitorAdapts`	a numCOmpetitors x 2 matrix containing each competitor's competitorID and their vote share from the previous period.
`voteTotalsForCompetitorsNewCompetitorAdapts`	a numCOmpetitors x 2 matrix containing each competitor's competitorID and their vote share from the current period.
`seatAllocationForCompetitorsNewCompetitorAdapts`	a numCOmpetitors x 2 matrix containing each competitor's competitorID and their vote share from the previous period.
`seatAllocationForCompetitorsOldCompetitorAdapts`	a numCOmpetitors x 2 matrix containing each competitor's competitorID and their vote share from the current period.
`electoralFormulaCompetitorAdapts`	The electoral formula being used in the model. In Plurality competitors maximize vote share, in PR systems they maximize seats.
`scaledCompetitorAdaptStepSizeCompetitorAdapts`	Size step the party can take. Should be in cartesian distance units.
`dimOneBoundsCompetitorsAdapt`	The bounds of the first dimension.
`dimTwoBoundsCompetitorsAdapt`	The bounds of the second dimension.