This package is considered a duplicate. The official version of this package is found at:https://marco-geraci.r-universe.dev/nlmm

Package: nlmm 1.1.1

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_1.1.1.tar.gz
nlmm_1.1.1.zip(r-4.7-x86_64)nlmm_1.1.1.zip(r-4.7-arm64)nlmm_1.1.1.zip(r-4.6-x86_64)nlmm_1.1.1.zip(r-4.6-arm64)
nlmm_1.1.1.tar.gz(r-4.7-arm64)nlmm_1.1.1.tar.gz(r-4.7-x86_64)nlmm_1.1.1.tar.gz(r-4.6-arm64)nlmm_1.1.1.tar.gz(r-4.6-x86_64)
nlmm_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
nlmm/json (API)

# 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:

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

openblas cpp

1.00 score 348 downloads 41 exports 34 dependencies

Last updated from:7785b95174. Checks:10 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	125
linux-devel-x86_64	OK	129
source / vignettes	OK	227
linux-release-arm64	OK	122
linux-release-x86_64	OK	141
windows-devel-arm64	OK	239
windows-devel-x86_64	OK	190
windows-release-arm64	OK	249
windows-release-x86_64	OK	137
wasm-release	OK	128

Exports:AIC.nlmm C_ll C_wdensgl dgl dl dmal dmgl fixef fixef.nlmm generate.data generate.design generate.dist lme2nlmm loglik_alpha_nlmm loglik_nlmm logLik.nlmm lrt_nlmm nlmm nlmmControl pchibarsq pgl pl predict.nlmm print.lrt_nlmm print.nlmm print.summary.nlmm qgl ql ranef ranef.nlmm residuals.nlmm rgl rl rmal rmgl summary.nlmm VarCorr VarCorr.nlmm Vchibarsq vcov.nlmm wchibarsq

Dependencies:BH boot conquer corpcor crs cubature Formula glmx gsl gtools KernSmooth lattice lmtest lqmm MASS Matrix MatrixModels matrixStats mvtnorm nlme np numDeriv Qtools quadprog quantdr quantreg Rcpp RcppArmadillo sandwich SparseGrid SparseM statmod survival zoo

Help page	Topics
nlmm: Generalized Laplace Mixed-Effects Models	nlmm-package
Extract Generalized Mixed-Effects Models Coefficients	fixef fixef.nlmm
Simulate Data from Mixed-Effects Models	generate.data
The Univariate Symmetric Generalized Laplace Distribution	dgl GenLaplace pgl qgl rgl
The Laplace Distribution	dl Laplace pl ql rl
Extract Log-Likelihood	logLik.nlmm
Likelihood Ratio Test for Generalized Laplace Mixed-Effects Models	lrt_nlmm print.lrt_nlmm
The Multivariate Asymmetric Generalized Laplace Distribution	dmgl MultivariateGenLaplace rmgl
The Multivariate Asymmetric Laplace Distribution	dmal MultivariateLaplace rmal
Fitting Generalized Laplace Mixed-Effects Models	nlmm
Control parameters for nlmm estimation	nlmmControl
Predictions from an 'nlmm' Object	predict.nlmm
Print an 'nlmm' Object	print.nlmm
Print an 'nlmm' Summary Object	print.summary.nlmm
Extract Random Effects	ranef ranef.nlmm
Growth curves	rats
Residuals from an 'nlmm' Object	residuals.nlmm
Summary for an 'nlmm' Object	summary.nlmm
Extract Variance-Covariance Matrix	VarCorr VarCorr.nlmm
Calculate Variance-Covariance Matrix for a Fitted Generalized Laplace Mixed-Effects Object	vcov.nlmm

Package: nlmm 1.1.1

nlmm: Generalized Laplace Mixed-Effects Models

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)