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qrNLMM: 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 results for the fixed-effects and variance components. It also provides prediction and graphical summaries for assessing the algorithm convergence and fitting results.
Getting started
Browse package contents
Package details |
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| Author | Christian E. Galarza <chedgala@espol.edu.ec> and Victor H. Lachos <hlachos@uconn.edu> |
| Maintainer | Christian E. Galarza <cgalarza88@gmail.com> |
| License | GPL (>= 2) |
| Version | 3.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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