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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • rats - Growth curves

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

openblascpp

1.00 score 237 downloads 41 exports 33 dependencies

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

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-linux-x86_64NOTEJan 30 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