MissForest Imputation

A wrapper around the missForest::missForest(). Impute missing values using recursive running of random forests until convergence. This is a non-parametric method and works for both MAR and MNAR missing data.

Usage

impute_miss_forest(x, by = NULL, ...)

Arguments

x

Either a glyexp_experiment object or a matrix. If a matrix, rows should be variables and columns should be samples.

by

Either a column name in sample_info (string) or a factor/vector specifying group assignments for each sample. Used for grouping when imputing missing values.

...

Additional arguments to pass to missForest::missForest().

Value

Returns the same type as the input. If x is a glyexp_experiment, returns a glyexp_experiment with missing values imputed. If x is a matrix, returns a matrix with missing values imputed.