makeNBCDmodel: Make or update NBCD model.
In aschersleben/NBCD: Naive Bayes for Online Classification with Concept Drift

Make or update NBCD model.

1
2
3

makeNBCDmodel(new.obs, model, max.waiting.time, init.obs, verbose = FALSE,
  ..., waiting.time = c("fixed", "auto"), min.waiting.time = 3,
  wait.all.classes = TRUE, k.waiting.time = 1)

`new.obs`	`[list]` Has elements "x" `[data.frame]` and "class" `[factor]` (and "time", if missing: +1)
`model`	`[list]` Model from makeNBCDmodel or empty.
`max.waiting.time`	`[numeric \| list]` Can be `numeric(1)`, then all features with same waiting time. In the other case, you have to give an individual waiting time for all features as an (un)named vector or list.
`init.obs`	`[numeric(1)]`
`verbose`	`[logical(1)]`
`...`	`[any]` Arguments passed to update.nb2(...).
`waiting.time`	`[character(1)]` Default is "fixed". If "auto", then calculate waiting time between two models (for factorial variables) with getWaitingTime2(). If "fixed", use max.waiting.time.
`min.waiting.time`	`[numeric(1)]` Minimal waiting time, if waiting.time = "auto".
`wait.all.classes`	`[logical(1)]` If waiting.time = "auto", should algo wait for all classes to be appeared?
`k.waiting.time`	`[numeric(1)]` If `waiting.time = "auto"`, the calculated waiting time willl be multiplied by this argument's value.