CRAN/E | skewlmm

skewlmm

Scale Mixture of Skew-Normal Linear Mixed Models

Installation

About

It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) type algorithm, including some possibilities for modeling the within-subject dependence. Details can be found in Schumacher, Lachos and Matos (2021) doi:10.1002/sim.8870.

github.com/fernandalschumacher/skewlmm
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 4.2
Published 2023-06-30 470 days ago
Needs compilation? no
License MIT
License File
CRAN checks skewlmm results

Downloads

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Last 30 days 230 -11%
Last 90 days 687 -9%
Last 365 days 2.927 -4%

Maintainer

Maintainer

Fernanda L. Schumacher

Authors

Fernanda L. Schumacher

aut / cre

Larissa A. Matos

aut

Victor H. Lachos

aut

Katherine A. L. Valeriano

aut

Nicholas Henderson

ctb

Ravi Varadhan

ctb

Material

README
NEWS
Reference manual
Package source

In Views

MixedModels
Robust

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

skewlmm archive

Depends

R ≥ 4.2
optimParallel

Imports

dplyr
furrr
future
ggplot2
ggrepel
haven
matrixcalc
methods
moments
MomTrunc
mvtnorm
nlme
numDeriv
purrr
relliptical
TruncatedNormal