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hdme: High-Dimensional Regression with Measurement Error
This paper presents the hdme package, implementing variable selection methods for regression with covariate measurement error.
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Sørensen, Ø. (2019). hdme: High-Dimensional Regression with Measurement Error. Journal of Open Source Software, 4(37), 1404. https://doi.org/10.21105/joss.01404
@article{sorensenHdmeHighDimensionalRegression2019,
title = {Hdme: {{High-Dimensional Regression}} with {{Measurement Error}}},
shorttitle = {Hdme},
author = {S{\o}rensen, {\O}ystein},
year = {2019},
month = may,
journal = {Journal of Open Source Software},
volume = {4},
number = {37},
pages = {1404},
issn = {2475-9066},
doi = {10.21105/joss.01404},
abstract = {S{\o}rensen, (2019). hdme: High-Dimensional Regression with Measurement Error. Journal of Open Source Software, 4(37), 1404, https://doi.org/10.21105/joss.01404},
langid = {english}
}