zCompositions - R Package for multivariate imputation of left-censored data under a compositional approach.

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	85-96
Journal	Chemometrics and Intelligent Laboratory Systems
Volume	143
DOIs	https://doi.org/10.1016/j.chemolab.2015.02.019
Publication status	Published - 15 Apr 2015

Keywords

@article{229269f915494b1cbd223b5e40e1a964,

title = "zCompositions - R Package for multivariate imputation of left-censored data under a compositional approach.",

keywords = "Board July 2015, Censored data, Compositional data analysis, Imputation, Log-ratio analysis",

author = "J. Palarea-Albaladejo and J.A. Martin-Fernandez",

year = "2015",

month = apr,

day = "15",

doi = "10.1016/j.chemolab.2015.02.019",

language = "English",

volume = "143",

pages = "85--96",

journal = "Chemometrics and Intelligent Laboratory Systems",

}

TY - JOUR

T1 - zCompositions - R Package for multivariate imputation of left-censored data under a compositional approach.

AU - Palarea-Albaladejo, J.

AU - Martin-Fernandez, J.A.

PY - 2015/4/15

Y1 - 2015/4/15

KW - Board July 2015

KW - Censored data

KW - Compositional data analysis

KW - Imputation

KW - Log-ratio analysis

U2 - 10.1016/j.chemolab.2015.02.019

DO - 10.1016/j.chemolab.2015.02.019

M3 - Article

VL - 143

SP - 85

EP - 96

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

ER -