tslumley/svylme: Linear Mixed Models for Complex Survey Data

Linear mixed models for complex survey data, by pairwise composite likelihood, as described in Lumley & Huang (2023) <arXiv:2311.13048>. Supports nested and crossed random effects, and correlated random effects as in genetic models. Allows for multistage sampling and for other designs where pairwise sampling probabilities are specified or can be calculated.

Getting started

Package details

MaintainerThomas Lumley <t.lumley@auckland.ac.nz>
LicenseGPL-3
Version1.5-2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tslumley/svylme")
tslumley/svylme documentation built on July 19, 2024, 1:18 p.m.