The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
lodi is a R package that implements censored likelihood
multiple imputation (CLMI) for single pollutant models with exposure
biomarkers below their respective detection limits. lodi
also contains implementations for standard methods such as single
imputation with a constant and complete-case analysis, although those
methods are primarily designed for comparison with
clmi.
lodi requires rlang >= 0.3.0 to be
installed, so you may want to install or update rlang
before installing lodi.
The package can be installed from CRAN
install.packages("lodi")Or from Github
# install.packages("devtools")
devtools::install_github("umich-cphds/lodi", build_opts = c())The Github version may contain bug fixes not yet present on CRAN, so if you are experiencing issues, you may want to try the Github version of the package.
Once lodi is installed, you can load up R and type
vignete("lodi")to learn how to use the method.
If you encounter a bug, please open an issue on the Issues tab on Github or send us an email.
For questions or feedback, please email Jonathan Boss at bossjona@umich.edu or Alexander Rix alexrix@umich.edu.
Boss J, Mukherjee B, Ferguson KK, et al. Estimating outcome-exposure associations when exposure biomarker detection limits vary across batches. Epidemiology. 2019;30(5):746-755. 10.1097/EDE.0000000000001052
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.