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

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dc.contributor.authorPereira, Luís
dc.contributor.authorInfante, Paulo
dc.contributor.authorFerreira, Teresa
dc.contributor.authorQuaresma, Paulo
dc.date.accessioned2026-01-12T22:49:52Z
dc.date.available2026-01-12T22:49:52Z
dc.date.issued2025
dc.description.abstractsurvlab 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).por
dc.identifier.authoremaild57177@alunos.uevora.pt
dc.identifier.authoremailpinfante@uevora.pt
dc.identifier.authoremailterferreira@isa.ulisboa.pt
dc.identifier.authoremailpq@uevora.pt
dc.identifier.citationPereira 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.survlabpor
dc.identifier.doihttps://doi.org/10.32614/CRAN.package.survlabpor
dc.identifier.scientificarea498por
dc.identifier.urihttps://lpereira-ue.github.io/survlab/
dc.identifier.urihttp://hdl.handle.net/10174/40329
dc.language.isoporpor
dc.publisherCRANpor
dc.rightsopenAccesspor
dc.subjectAutomatic distribution selectionpor
dc.subjectData quality validationpor
dc.subjectParameter/unit validationpor
dc.subjectIndividual detection limit handlingpor
dc.subjectRealistic imputationpor
dc.subjectBuilt-in validationpor
dc.subjectEfficient implementationpor
dc.subjectEnvironmental focuspor
dc.titlesurvlab: Survival Model-Based Imputation for Laboratory Non-Detect Datapor
dc.typeotherpor

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