rsf.score: A rsf score function
In aMilles/rsfsim:

Description Usage Arguments Value Examples

This function generates rsf scores/effect plots

rsf.score(formu = NA, pop_size = NA, base_ = NA, pred_choice = NA,
  n_preds = NA, n_preds_original = NA, gridsize = NA, predictors_ = NA,
  ind_sd = NA, n_values = NA, uc_type = NA, mode = NA,
  param_list = list(NA), silent = T, ind_prefs = NA)

`formu`	formula without an response such as ~ x1 + x2
`pop_size`	integer defining the number of individuals
`base_`	vector of numerics as the parameters coefficients
`pred_choice`	vector of integers defining the set of predictors originally selected
`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
`n_values`	integer as the length of the min - max - sequence of a predictor (x-axis of an effect plot)
`uc_type`	character defining the type of uncertainty, "both", "marg" and "cond" are possible
`mode`	character defining wether effect plots should be generated or if the function is used inside a bootstrap. "plot" and "bootstrap" are possible
`param_list`	list of parameters for shorter lines, see code for details

In plot mode it returns a data.frame with quantiles suitable for ggplot2 and the plot itself, in bootstrap mode it returns an array with non-aggregated rsf-scores.