sure_independence_screen: Sure independence screening function

Description Usage Arguments

View source: R/sure_independence_screen.r

Description

Sure independence screening function

Usage

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sure_independence_screen(dataframe, ..., exclude = character(0),
  max_levels = 100, discretizer_params = list())

Arguments

dataframe

a data.frame. Run sure independence screening on this dataframe.

...

further SIS options. See also sure_independence_screening in the statsUtils package.

exclude

character. A vector of variables to never remove.

discretizer_params

list. A list of parameters to pass to the discretizer that discretizes all non-categorical variables before sure independence screening. By default, these are granularity = N, upper_count_bound = NULL, lower_count_bound = 1, where N is the rounded mean of the number of levels in each existent factor variable (i.e. if some were pre-discretized), or 3 if there are less than 5 such variables. If any are left undiscretized, these will not be screened.


robertzk/syberiaMungebits documentation built on May 25, 2017, 6:40 a.m.