Package: nlmm 1.1.0

Marco Geraci

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>.

Authors:Marco Geraci [aut, cph, cre], Alessio Farcomeni [ctb]

nlmm_1.1.0.tar.gz
nlmm_1.1.0.tar.gz(r-4.5-noble)nlmm_1.1.0.tar.gz(r-4.4-noble)
nlmm_1.1.0.tgz(r-4.4-emscripten)nlmm_1.1.0.tgz(r-4.3-emscripten)
nlmm.pdf |nlmm.html
nlmm/json (API)
NEWS

# Install 'nlmm' in R:
install.packages('nlmm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • rats - Growth curves

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 229 downloads 41 exports 33 dependencies

Last updated 1 years agofrom:b39905083d. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-linux-x86_64NOTEMar 01 2025

Exports:AIC.nlmmC_llC_wdensgldgldldmaldmglfixeffixef.nlmmgenerate.datagenerate.designgenerate.distlme2nlmmloglik_alpha_nlmmloglik_nlmmlogLik.nlmmlrt_nlmmnlmmnlmmControlpchibarsqpglplpredict.nlmmprint.lrt_nlmmprint.nlmmprint.summary.nlmmqglqlranefranef.nlmmresiduals.nlmmrglrlrmalrmglsummary.nlmmVarCorrVarCorr.nlmmVchibarsqvcov.nlmmwchibarsq

Dependencies:BHbootconquercubaturedrFormulaglmxgslgtoolsKernSmoothlatticelmtestlqmmMASSMatrixMatrixModelsmatrixStatsmvtnormnlmenpnumDerivQtoolsquadprogquantdrquantregRcppRcppArmadillosandwichSparseGridSparseMstatmodsurvivalzoo