PPCA Imputation

A wrapper around the pcaMethods::pca(). Impute missing values using probabilistic principal component analysis (PPCA). PPCA allows to perform PCA on incomplete data and may be used for missing value estimation.

Usage

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

Arguments

x

A glyexp::GlycomicSE(), glyexp::GlycoproteomicSE(), or SummarizedExperiment::SummarizedExperiment() object.

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 pcaMethods::pca().

Value

A container of the same class as x, with missing values imputed.