random_removal: Generate random removal sequence

In metasnf: Meta Clustering with Similarity Network Fusion

Generate random removal sequence

Description

Helper function to contribute to rows within the settings data frame. Number of columns removed follows a uniform or exponential probability distribution.

Usage

random_removal(
  columns,
  min_removed_inputs,
  max_removed_inputs,
  dropout_dist = "exponential"
)

Arguments

columns	Columns of the settings_df that are passed in
min_removed_inputs	The smallest number of input data frames that may be randomly removed.
max_removed_inputs	The largest number of input data frames that may be randomly removed.
dropout_dist	Indication of how input data frames should be dropped. can be "none" (no dropout), "uniform" (uniformly draw number between min and max removed inputs), or "exponential" (like uniform, but using an exponential distribution; default).

Value

inclusions_df data frame that can be rbind'ed to the settings_df

metasnf documentation built on April 3, 2025, 5:40 p.m.