schildjs/ods4lda: Outcome Dependent Sampling (ODS) Designs for Linear Mixed Models Data Analysis

A package that fits linear mixed models under outcome dependent sampling (ODS) designs. At present, it uses maximum likelihood for random intercept and slope models for random sampling designs and ascertainment corrected maximum likelihood for ODS designs [see Schildcrout, J.S., Rathouz, P.J., Zelnick, L.R., Garbett, S.P., Heagerty, P.J.. 2015. "Biased Sampling Designs to Improve Research Efficiency: Factors Influencing Pulmonary Function over Time in Children with Asthma". Annual of Applied Statistics. (2):731-753. <doi:10.1214/15-AOAS826>].

Getting started

Package details

AuthorJonathan Schildcrout [aut, cre], Shawn Garbett [ctb]
MaintainerJonathan S. Schildcrout <[email protected]>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("schildjs/ods4lda")
schildjs/ods4lda documentation built on Nov. 9, 2017, 5:21 a.m.