gen_cont: Generate contours
In IceCast: Apply Statistical Post-Processing to Improve Sea Ice Predictions

Generate the contours for a particular region given the model prediction

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gen_cont(r, pars_r, reg_info, n_gen = NULL, map_pred_r = NULL,
  stat_only = FALSE, mean_only = FALSE, eff_zero = 12.5,
  stat_only_trend = TRUE)

`r`	integer indicating the number of the region in which the contours should be generated
`pars_r`	List of parameter information for region r. The list should contain two elements, `muEst` and `sigmaEst`, which give estimates for the μ and Σ parameters used in generating contours. Typically obtained from the `calc_pars` function
`reg_info`	a `reg_info` list (see documentation for `reg_info`)
`n_gen`	integer specifying the number of contours to be generated, must be at least 2
`map_pred_r`	output of `get_map` function applied to `SpatialPolygons` object corresponding to an intial forecast (typically a bias-corrected dynamic ensemble forecast)
`stat_only`	boolean indicating that forecast is purely statistical (no dynamic ensemble model forecast considered)
`mean_only`	boolean indicating that only the mean contour will be computed rather than distribution
`eff_zero`	how close a generated vector needs to be to zero to be counted as a zero, defaults to 12.5
`stat_only_trend`	boolean indicating if a trend adjustment should be applied when `stat_only = TRUE`. Defaults to true

## Not run: 
#statistical binary, region 1
stat_bin_1 <- gen_cont(r = 1, pars_r = pars_1, reg_info,
                       stat_only = TRUE, mean_only = TRUE)

#statistical probabilistic, region 1, 2 generated contours
stat_prob_1 <- gen_cont(r = 1, pars_r = pars_1, reg_info,
                        n_gen = 2, stat_only = TRUE)

 #hybrid probabilistic, region 1, 2 generated contours
 hybrid_prob_1 <- gen_cont(r = 1, pars_r = pars_1, reg_info,
                           n_gen = 2, map_pred_r = map_curr_1)
 
## End(Not run)