Minimum Probability Imputation — impute_min

Impute missing values using random draws from the left-censored gaussian distribution. Missing values are imputed on the log2 intensity scale and then transformed back to the original scale.

Usage

impute_min_prob(x, by = NULL, q = 0.01, tune.sigma = 1, ...)

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.
q: Quantile used to estimate the lower-intensity center for each sample. Default is 0.01.
tune.sigma: Non-negative multiplier for the standard deviation of the left-censored draw distribution. Default is 1.
...: Reserved for backward compatibility. Extra arguments are not supported.

Value

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