Quantile Regression for Nonlinear Mixed-Effects Models

Quantile regression (QR) for Nonlinear 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 result is for the fixed-effects and variance components. It also provides prediction and graphical summaries for assessing the algorithm convergence and fitting results.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("qrNLMM")

4.0 by Christian E. Galarza, a year ago


Browse source code at https://github.com/cran/qrNLMM


Authors: Christian E. Galarza [aut, cre] , Victor H. Lachos [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports mvtnorm, lqr, quantreg, psych, ald, progress


See at CRAN