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nlmm (version 1.1.1)

Generalized Laplace Mixed-Effects Models

Description

Provides functions to fit linear mixed models based on convolutions of the generalized Laplace (GL) distribution. The GL mixed-effects model includes four special cases with normal random effects and normal errors (NN), normal random effects and Laplace errors (NL), Laplace random effects and normal errors (LN), and Laplace random effects and Laplace errors (LL). The methods are described in Geraci and Farcomeni (2020, Statistical Methods in Medical Research) .

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Version

Install

install.packages('nlmm')

Monthly Downloads

233

Version

1.1.1

License

GPL (>= 2)

Maintainer

Marco Geraci

Last Published

July 28th, 2025

Functions in nlmm (1.1.1)

MultivariateLaplace

The Multivariate Asymmetric Laplace Distribution
nlmm

Fitting Generalized Laplace Mixed-Effects Models
predict.nlmm

Predictions from an nlmm Object
vcov.nlmm

Calculate Variance-Covariance Matrix for a Fitted Generalized Laplace Mixed-Effects Object
print.nlmm

Print an nlmm Object
rats

Growth curves
nlmm-package

nlmm: Generalized Laplace Mixed-Effects Models
residuals.nlmm

Residuals from an nlmm Object
ranef.nlmm

Extract Random Effects
nlmmControl

Control parameters for nlmm estimation
nlmm-internal

Internal nlmm objects
generate.data

Simulate Data from Mixed-Effects Models
logLik.nlmm

Extract Log-Likelihood
fixef.nlmm

Extract Generalized Mixed-Effects Models Coefficients
MultivariateGenLaplace

The Multivariate Asymmetric Generalized Laplace Distribution
GenLaplace

The Univariate Symmetric Generalized Laplace Distribution
Laplace

The Laplace Distribution
print.summary.nlmm

Print an nlmm Summary Object
summary.nlmm

Summary for an nlmm Object
lrt_nlmm

Likelihood Ratio Test for Generalized Laplace Mixed-Effects Models
VarCorr.nlmm

Extract Variance-Covariance Matrix