CRAN/E | glmmrOptim

glmmrOptim

Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models

Installation

About

Optimal design analysis algorithms for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and temporal epidemiological studies, and split-plot designs. See for a detailed manual on model specification. A detailed discussion of the methods in this package can be found in Watson, Hemming, and Girling (2023) doi:10.1177/09622802231202379.

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

Key Metrics

Version 0.3.5
R ≥ 3.4.0
Published 2024-06-02 104 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks glmmrOptim results

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Maintainer

Maintainer

Sam Watson

Authors

Sam Watson

aut / cre

Yi Pan

aut

Material

Reference manual
Package source

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

glmmrOptim archive

Depends

R ≥ 3.4.0
Matrix
glmmrBase

Imports

methods
Rcpp ≥ 1.0.7
digest

Suggests

testthat
CVXR

LinkingTo

Rcpp ≥ 1.0.7
RcppEigen
RcppProgress
glmmrBase ≥0.4.6
SparseChol ≥ 0.2.1
BH
rminqa ≥ 0.2.2