huntersAdapt: huntersAdapt Hunters Adaptation rule
In robiRagan/voteR: Spatial Voting Models in R

Hunters compare their vote share or seat share in an election at t, to their vote share or seat share in the election at t-1. If the vote share/ seat share improved they continue moving in the same direction. If the vote share/ seat share did not improve they randomly chooses a new heading between 90 to 270 degrees away from its previous heading.

huntersAdapt(
  competitorDataFrameHunterAdapts,
  voteTotalsForCompetitorsOldHunterAdapts,
  voteTotalsForCompetitorsNewHunterAdapts,
  seatAllocationForCompetitorsNewHunterAdapts,
  seatAllocationForCompetitorsOldHunterAdapts,
  electoralFormulaHunterAdapts,
  scaledCompetitorAdaptStepSizeHunterAdapts,
  dimOneBoundsHuntersAdapt,
  dimTwoBoundsHuntersAdapt
)

`competitorDataFrameHunterAdapts`	a voteR dataFrame that contains the competitorID, current location, and comeptitor type for each competitor.
`voteTotalsForCompetitorsOldHunterAdapts`	a numCOmpetitors x 2 matrix containing each competitor's competitorID and their vote share from the previous period.
`voteTotalsForCompetitorsNewHunterAdapts`	a numCOmpetitors x 2 matrix containing each competitor's competitorID and their vote share from the current period.
`seatAllocationForCompetitorsNewHunterAdapts`	a numCOmpetitors x 2 matrix containing each competitor's competitorID and their vote share from the previous period.
`seatAllocationForCompetitorsOldHunterAdapts`	a numCOmpetitors x 2 matrix containing each competitor's competitorID and their vote share from the current period.
`electoralFormulaHunterAdapts`	The electoral formula being used in the model. In Plurality competitors maximize vote share, in PR systems they maximize seats.
`scaledCompetitorAdaptStepSizeHunterAdapts`	Size step the party can take. Should be in cartesian distance units.
`dimOneBoundsHuntersAdapt`	The bounds of the first dimension.
`dimTwoBoundsHuntersAdapt`	The bounds of the second dimension.