Predict home range model values

This is the main function to predict values from a fit set of parameters.

hr_predict(
  data,
  par,
  obs,
  steps = 1,
  runs = 1,
  keep_start = TRUE,
  optimization = FALSE,
  verbose = TRUE
)

Arguments

data: A data frame with driver data.
par: model parameters
obs: reference observations (path) to a track file generated by {hr_xy()} or any data frame with the following columns: id, x, y
steps: number of steps to simulate
runs: number of runs to simulate
keep_start: keep the starting position in the output data (this is run 0 and only has one coordinate, the release point)
optimization: optimization trigger (only used in debugging, set to FALSE)
verbose: provide feedback on the command line (default = TRUE)

simulated track