Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/40329
|
| Title: | survlab: Survival Model-Based Imputation for Laboratory Non-Detect Data |
| Authors: | Pereira, Luís
Infante, Paulo
Ferreira, Teresa
Quaresma, Paulo |
| Keywords: | Automatic distribution selection
Data quality validation
Parameter/unit validation
Individual detection limit handling
Realistic imputation
Built-in validation
Efficient implementation
Environmental focus |
| Issue Date: | 2025 |
| Publisher: | CRAN |
| Citation: | Pereira L, Infante P, Ferreira T, Quaresma P (2025). survlab: Survival Model-Based Imputation for Laboratory Non-Detect Data. R package version 0.1.0. DOI: 10.32614/CRAN.package.survlab |
| 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). |
| URI: | https://lpereira-ue.github.io/survlab/
http://hdl.handle.net/10174/40329 |
| Type: | other |
| Appears in Collections: | CIMA - Aplicações Computacionais
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
