Skip to content

imputeLCMD

2.1Package record

A Collection of Methods for Left-Censored Missing Data Imputation

0packages dependsuggested by 2
34.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
18
Examples that run
100%2 run in a plain check
Exported functions with examples
0%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
22%

Downloads

34.6K
CRAN downloads in the past year
Rank #2,240 · ~95/day · ~2.9K/mo
Daily download trend is not available in this view yet.
2.9K30 days
7.6K90 days
34.6K1 year
Compare downloads with other packages →
Also on434 r2u1.8K bioconda45 c2d4u

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing imputeLCMD adds 6 packages (5 with compiled code, 4.2 MB of source tarballs). Heaviest: sandwich 1.4 MB, mvtnorm 1.0 MB, gmm 919 KB. 2 more not on CRAN are not measured.

Depends (5)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 2
Suggests, most downloaded first

Datasets

People & History

People (3)
Maintainer since 2.1 (2022), Contributor · added in 2.1
Author · added in 2.1

Previously maintained by Cosmin Lazar (1.0 to 2.0).

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 2.1Latest
    record
    2022-06-10 · current release · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 14 exports
    generate.ExpressionData, generate.RollUpMap, impute.MAR, impute.MAR.MNAR, impute.MinDet, impute.MinProb, impute.QRILC, impute.ZERO, impute.wrapper.KNN, impute.wrapper.MLE, impute.wrapper.SVD, insertMVs, model.Selector, pep2prot
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 2.0
    record
    2015-01-19 · diff ↗
  • 1.0
    record
    2014-07-13
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-07-13
Total releases
3 / 12 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
561 KB / 5 files
Download size
577 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("imputeLCMD")
Wieczorek, S., Burger, T., & Lazar, C. (2022). imputeLCMD: A Collection of Methods for Left-Censored Missing Data Imputation (Version 2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.imputeLCMD

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for imputeLCMD version 2.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy