survlab: Survival Model-Based Imputation for Laboratory Non-Detect Data

Abstract

survlab provides functions for imputing non-detect values in environmental laboratory data using survival models (including Tobit models) with automatic distribution selection. Is designed specifically for working with analytical data where measurements fall below detection limits or limits of quantification (LOQ).