nlmm: Generalized Laplace Mixed-Effects Models

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) <doi:10.1177/0962280220903763>.

Version: 1.1.0
Depends: R (≥ 3.0.0), nlme
Imports: gsl, lqmm, MASS, Matrix, mvtnorm, numDeriv, statmod, stats, Qtools, Rcpp (≥ 0.12.13), utils
LinkingTo: Rcpp, RcppArmadillo, BH
Published: 2023-11-24
DOI: 10.32614/CRAN.package.nlmm
Author: Marco Geraci ORCID iD [aut, cph, cre], Alessio Farcomeni [ctb]
Maintainer: Marco Geraci <marco.geraci at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: nlmm citation info
Materials: NEWS
In views: MixedModels
CRAN checks: nlmm results


Reference manual: nlmm.pdf


Package source: nlmm_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): nlmm_1.1.0.tgz, r-oldrel (arm64): nlmm_1.1.0.tgz, r-release (x86_64): nlmm_1.1.0.tgz, r-oldrel (x86_64): nlmm_1.1.0.tgz
Old sources: nlmm archive


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