| 1 | #' getPersistenceJumpPredict |
| 2 | #' |
| 3 | #' Analog of the PersistenceForecaster: predict the jump after last observed value either |
| 4 | #' by re-applying the last jump between similar day and its follower (if argument |
| 5 | #' "same_day" is TRUE), or by re-using the very last observed jump (when "same_day" = |
| 6 | #' FALSE). |
| 7 | #' |
| 8 | #' @inheritParams computeForecast |
| 9 | #' @inheritParams getZeroJumpPredict |
| 10 | #' |
| 11 | #' @aliases J_Persistence |
| 12 | #' |
| 13 | getPersistenceJumpPredict = function(data, today, memory, horizon, params, ...) |
| 14 | { |
| 15 | #return gap between end of similar day curve and first day of tomorrow (in the past) |
| 16 | first_day = max(1, today-memory) |
| 17 | same_day = ifelse(hasArg("same_day"), list(...)$same_day, TRUE) |
| 18 | index = today - ifelse(same_day,7,1) |
| 19 | repeat |
| 20 | { |
| 21 | { |
| 22 | last_serie_end = tail( data$getSerie(index), 1) |
| 23 | last_tomorrow_begin = head( data$getSerie(index+1), 1) |
| 24 | index = index - ifelse(same_day,7,1) |
| 25 | }; |
| 26 | if (!is.na(last_serie_end) && !is.na(last_tomorrow_begin)) |
| 27 | return (last_tomorrow_begin - last_serie_end); |
| 28 | if (index < first_day) |
| 29 | return (NA) |
| 30 | } |
| 31 | } |