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() |