Those wrapper are mainly used internally by other functions and the
recommended way is to start your detection process by using one of:
strange, stranger or lucky_odds functions.
weird_knn(data = NULL, info = FALSE, colname = NULL, simplify = "mean",
...)weird_lof(data = NULL, info = FALSE, colname = NULL, ...)
weird_autoencode(data = NULL, info = FALSE, colname = NULL, ...)
weird_abod(data = NULL, info = FALSE, colname = NULL, ...)
weird_pcout(data = NULL, info = FALSE, colname = NULL, ...)
weird_isofor(data = NULL, info = FALSE, colname = NULL, ...)
weird_kmeans(data = NULL, info = FALSE, colname = NULL, type = "means",
...)
weird_mahalanobis(data = NULL, info = FALSE, colname = NULL, ...)
weird_randomforest(data = NULL, info = FALSE, colname = NULL, ...)
data pre-processed with crazyfy function
logical: either run the function (default) or simply return some information about it
character: optional prefix to be used to prepare the naming
of the generated column. All weird methods do have a default prefix (applied when
colname is NULL). Note that generated output column name will still have some
information added to reflect values used for some key parameters.
character of function - used by knn to aggregates distances to nearest k points.
additional parameters to be passed to weird method, for instance k for knn
one of "means" or "euclidian". See kmeans from stats package.
For each weird wrapper, please refer to the documentation of the underlying function in its package.