qrLMM: Quantile Regression for Linear Mixed-Effects Models

Quantile regression (QR) for Linear Mixed-Effects Models via the asymmetric Laplace distribution (ALD). It uses the Stochastic Approximation of the EM (SAEM) algorithm for deriving exact maximum likelihood estimates and full inference results for the fixed-effects and variance components. It also provides graphical summaries for assessing the algorithm convergence and fitting results.

Package details

AuthorChristian E. Galarza <[email protected]> and Victor H. Lachos <[email protected]>
MaintainerChristian E. Galarza <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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qrLMM documentation built on May 1, 2019, 7:12 p.m.