Reproducible cleaning of biomedical laboratory data using visualization, error correction, and transformation methods implemented as interactive R notebooks. A detailed description of the methods ca ben found in Malkusch, S., Hahnefeld, L., Gurke, R. and J. Lotsch. (2021) <doi:10.1002/psp4.12704>.
| Version: |
0.1.1 |
| Imports: |
R6 (≥ 2.4.1), DT, DataVisualizations, dbscan, dplyr, e1071, finalfit, ggplot2, ggthemes, Hmisc, magrittr, MASS, RWeka, VIM, bbmle, grid, gridExtra, mice, nortest, outliers, plotly, psych, purrr, rcompanion, readr, readxl, rlang, rmarkdown, robust, shiny, stats, stringr, tibble, tidyr, tidyselect, tools, writexl |
| Suggests: |
knitr, devtools, ellipsis (≥ 0.3.2), roxygen2 |
| Published: |
2026-02-20 |
| DOI: |
10.32614/CRAN.package.pguIMP |
| Author: |
Sebastian Malkusch
 [aut],
Jorn Lotsch [aut,
cre] |
| Maintainer: |
Jorn Lotsch <j.lotsch at em.uni-frankfurt.de> |
| BugReports: |
https://github.com/JornLotsch/pguIMP/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/JornLotsch/pguIMP |
| NeedsCompilation: |
no |
| Citation: |
pguIMP citation info |
| CRAN checks: |
pguIMP results |