| df_paths | data.frame | | data.frame including customer journeys |
| var_path | str | None | name of the column containing paths |
| var_conv | str | None | name of the column containing total conversions |
| var_null | str | None | name of the column containing total paths that do not lead to conversion |
| cha_sep | str | ">" | separator between channels |
| channel_conv_name | str | None | how conversion state is identified in df_paths |
| df_ctr | data.frame | None | data.frame with click-through rates for channels expressed in number of clicks |
| perc_reall | double | 0.10 | Percentage of traffic to reallocate |
| perc_sample | double | 0.10 | Percentage of sampled customer journeys |
| max_nsim | int | 10000 | Maximum number of sampled customer journeys |
| min_perc_traffic | double | 0.005 | Minimum percentage of traffic equally split among each channel |
| niter | int | 10 | Number of iterations |
| flg_extra_path | bool | 1 | If = 1, extra paths will be added to Data |
| max_markov_order | int | 3 | all the Markov models of order <= max_markov_order will be computed |
| seed | int | 1234567 | random seed |
| verbose | int | 1 | If = 1, some information is printed during the execution |