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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 result is for the fixed-effects and variance components. It also provides prediction and graphical summaries for assessing the algorithm convergence and fitting results.

Versions across snapshots

VersionRepositoryFileSize
4.0 rolling linux/jammy R-4.5 qrNLMM_4.0.tar.gz 115.1 KiB
4.0 rolling linux/noble R-4.5 qrNLMM_4.0.tar.gz 114.8 KiB
4.0 rolling source/ R- qrNLMM_4.0.tar.gz 28.8 KiB
4.0 latest linux/jammy R-4.5 qrNLMM_4.0.tar.gz 115.1 KiB
4.0 latest linux/noble R-4.5 qrNLMM_4.0.tar.gz 114.8 KiB
4.0 latest source/ R- qrNLMM_4.0.tar.gz 28.8 KiB
4.0 2026-04-26 source/ R- qrNLMM_4.0.tar.gz 28.8 KiB
4.0 2026-04-23 source/ R- qrNLMM_4.0.tar.gz 28.8 KiB
4.0 2026-04-09 windows/windows R-4.5 qrNLMM_4.0.zip 118.1 KiB
3.4 2025-04-20 source/ R- qrNLMM_3.4.tar.gz 28.6 KiB

Dependencies (latest)

Imports