vandomed/meuc: Measurement Error and Unmeasured Confounding

Functions for implementing corrective methods for measurement error/missing data/unmeasured confounding. Methods include maximum likelihood, regression calibration, and propensity score calibration.

Getting started

Package details

AuthorDane R. Van Domelen
MaintainerDane R. Van Domelen <vandomed@gmail.com>
LicenseGPL-3
Version1.1.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("vandomed/meuc")
vandomed/meuc documentation built on May 12, 2019, 6:17 p.m.