CRAN/E | glmmrBase

glmmrBase

Generalised Linear Mixed Models in R

Installation

About

Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more. See for a detailed manual.

github.com/samuel-watson/glmmrBase
System requirements GNU make
Bug report File report

Key Metrics

Version 0.8.1
R ≥ 3.5.0
Published 2024-04-08 12 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks glmmrBase results

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Maintainer

Maintainer

Sam Watson

S.I.Watson@bham.ac.uk

Authors

Sam Watson

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

glmmrBase archive

Depends

R ≥ 3.5.0
Matrix ≥ 1.3-1

Imports

methods
Rcpp ≥ 1.0.11
R6
rstan ≥ 2.32.1
rstantools ≥ 2.3.1.1

LinkingTo

Rcpp ≥ 1.0.11
RcppEigen
SparseChol ≥ 0.3.1
BH
RcppParallel ≥ 5.0.1
rstan ≥ 2.32.1
StanHeaders ≥2.32.0

Reverse Depends

glmmrOptim

Reverse LinkingTo

glmmrOptim
rts2