recipe r-imputelcmd

The package contains 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.



GPL3 / GPL-2.0-or-later



package r-imputelcmd

(downloads) docker_r-imputelcmd



depends bioconductor-impute:

depends bioconductor-pcamethods:

depends r-base:


depends r-norm:

depends r-tmvtnorm:



You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install r-imputelcmd

and update with::

   mamba update r-imputelcmd

To create a new environment, run:

mamba create --name myenvname r-imputelcmd

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `r-imputelcmd/tags`_ for valid values for ``<tag>``)

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