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 212 downloads 41 exports 33 dependencies

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

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linux-x86_64NOTEDec 01 2024

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