move.from.preds.stepwise: A resource selection simulator
In aMilles/rsfsim:

Description Usage Arguments Value Examples

This function generates a dataset usable in resource selection functions

move.from.preds.stepwise(formu, pop_size = pop.size, steps_ = steps,
  non_steps = non.steps, base_, n_preds, n_preds_original,
  gridsize = sqrt(nrow(predictors)), predictors_, ind_sd = NA,
  dist_effect = NA, stepwise = F, absence_sampling = NA,
  param_list = list(NA))

`formu`	formula without an response such as ~ x1 + x2
`pop_size`	integer defining the number of individuals
`steps_`	number of relocations/steps
`non_steps`	number of absences
`base_`	vector of numerics as the parameters coefficients
`n_preds`	integer defining total number of predictors, quadratic conditions and interactions
`n_preds_original`	integer defining the number of predictors
`gridsize`	integer determining size of the map
`predictors_`	matrix of predictors
`ind_sd`	integer as the standard deviation of the normal distribution with a mean of 1 that is multiplied with the parameter coefficients
`dist_effect`	numeric defining the impact of the distance on relocation as plogis(1/dist^dist_effect)
`stepwise`	logical, if relocations are only dependent of the set of predictors or also dependent of the location of the last step
`absence_sampling`	default is "availability" , meaning all cells are used as availability background. "absence" samples only cells where no presence has been recorded.
`pred_choice`	vector of integers defining the set of predictors originally selected