Description Usage Arguments Examples

Generate the contours for a particular region given the model prediction

1 2 3 |

`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, |

`reg_info` |
a |

`n_gen` |
integer specifying the number of contours to be generated, must be at least 2 |

`map_pred_r` |
output of |

`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 |

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
## 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)
``` |

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