imputeLCMD: A Collection of Methods for Left-Censored Missing Data
Imputation
A collection of functions for left-censored missing data imputation. Left-censoring is a special case of missing not at random (MNAR) mechanism that generates non-responses in proteomics experiments. The package also contains functions to artificially generate peptide/protein expression data (log-transformed) as random draws from a multivariate Gaussian distribution as well as a function to generate missing data (both randomly and non-randomly). For comparison reasons, the package also contains several wrapper functions for the imputation of non-responses that are missing at random. * New functionality has been added: a hybrid method that allows the imputation of missing values in a more complex scenario where the missing data are both MAR and MNAR.
| Version: |
2.1 |
| Depends: |
R (≥ 2.10), tmvtnorm, norm, pcaMethods, impute |
| Published: |
2022-06-10 |
| Author: |
Cosmin Lazar [aut],
Thomas Burger [aut],
Samuel Wieczorek [cre, ctb] |
| Maintainer: |
Samuel Wieczorek <samuel.wieczorek at cea.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
imputeLCMD results |
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