Rough estimation of missing values in a vector according to its type.

`initialise(x, mixed, method = "kNN", mixed.constant = NULL)`

## Arguments

- x
a vector.

- mixed
a character vector containing the names of variables of type
mixed (semi-continous).

- method
Method used for Initialization (median or kNN)

- mixed.constant
vector with length equal to the number of
semi-continuous variables specifying the point of the semi-continuous
distribution with non-zero probability

## Value

the initialized vector.

## Details

Missing values are imputed with the mean for vectors of class
`"numeric"`

, with the median for vectors of class `"integer"`

, and
with the mode for vectors of class `"factor"`

. Hence, `x`

should
be prepared in the following way: assign class `"numeric"`

to numeric
vectors, assign class `"integer"`

to ordinal vectors, and assign class
`"factor"`

to nominal or binary vectors.

## Note

The function is used internally by some imputation algorithms.

## Author

Matthias Templ, modifications by Andreas Alfons