# Diagnostics for Confounding of Time-Varying and Other Joint Exposures

## Documentation for package ‘confoundr’ version 1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

apply.scope | Function to subset the output table from balance() or diagnose() to covariate balance metrics at a certain distance (e.g. a certain recency) or produce estimates that average over person-time.
balance | Function to create a balance table for a specified diagnostic. Takes input from lengthen() or omit.history().
catie_sim | Simulated data, loosely based on the Clinical Antipsychotic Trial of Intervention Effectiveness (CATIE) study.
diagnose | Function to loop over the lengthen() and balance() functions.
example_sml | Artifical data set used to illustrate the functionality of confoundr.
lengthen | Function to create a "tidy" dataframe where the key observation is the pairing of exposure and covariate measurement times
makehistory.one | Function to create exposure history for a single time varying exposure.
makehistory.two | Function to create joint exposure history for two distinct time-varying exposures
makeplot | Function to create balance plot for a specified diagnostic. Takes input from balance() or apply.scope() or diagnose().
omit.history | Function to remove irrelevant covariate history from a tidy dataframe used to construct balance tables and plots. Takes input from lengthen(), balance() or diagnose().
toy_long | Artifical data set used to test the functionality of confoundr.
toy_long_dropoutN | Artifical data set used to test the functionality of confoundr.
toy_long_dropoutY | Artifical data set used to test the functionality of confoundr.
toy_wide_censN | Artifical data set used to test the functionality of confoundr.
toy_wide_censY | Artifical data set used to test the functionality of confoundr.
toy_wide_dropoutN | Artifical data set used to test the functionality of confoundr.
toy_wide_dropoutY | Artifical data set used to test the functionality of confoundr.
widen | Function to transform data from person-time format to person format suitable for lengthen()