Package: survlab 0.2.0

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

Implements survival-model-based imputation for censored laboratory measurements, including Tobit-type models with several distribution options. Suitable for data with values below detection or quantification limits, the package identifies the best-fitting distribution and produces realistic imputations that respect the censoring thresholds.

Authors:Luís Pereira [aut, cre], Paulo Infante [aut], Teresa Ferreira [ths], Paulo Quaresma [ths]

survlab_0.2.0.tar.gz
survlab_0.2.0.zip(r-4.7-any)survlab_0.2.0.zip(r-4.6-any)survlab_0.2.0.zip(r-4.5-any)
survlab_0.2.0.tgz(r-4.6-any)survlab_0.2.0.tgz(r-4.5-any)
survlab_0.2.0.tar.gz(r-4.7-any)survlab_0.2.0.tar.gz(r-4.6-any)
survlab_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
survlab/json (API)

# Install 'survlab' in R:

install.packages('survlab', repos = c('https://lpereira-ue.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lpereira-ue/survlab/issues

Pkgdown/docs site:https://lpereira-ue.github.io

Datasets:

multi_censored_data - Environmental Laboratory Nitrate Data with Non-Detects

On CRAN:

4.40 score 281 downloads 2 exports 5 dependencies

Last updated from:b7df91c046. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	121
source / vignettes	OK	391
linux-release	OK	156
macos-release	OK	118
macos-oldrel	OK	111
windows-devel	OK	84
windows-release	OK	135
windows-oldrel	OK	84
wasm-release	OK	117

Exports:impute_nondetect validate_imputation

Dependencies:data.table lattice Matrix survival truncnorm

Survival Model-Based Imputation for Laboratory Non-Detect Data

Rendered frompackage_vignette.rmdusingknitr::rmarkdown

Last update: 2025-12-05
Started: 2025-12-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Impute Non-Detect Values in Laboratory Data	impute_nondetect
Environmental Laboratory Nitrate Data with Non-Detects	multi_censored_data
Validate Laboratory Non-Detect Imputation Results	validate_imputation