Assess Medication Adherence from Pharmaceutical Claims Data

A (mildly) opinionated set of functions to help assess medication adherence for researchers working with medication claims data. Medication adherence analyses have several complex steps that are often convoluted and can be time-intensive. The focus is to create a set of functions using "tidy principles" geared towards transparency, speed, and flexibility while working with adherence metrics. All functions perform exactly one task with an intuitive name so that a researcher can handle details (often achieved with vectorized solutions) while we handle non-vectorized tasks common to most adherence calculations such as adjusting fill dates and determining episodes of care. The methodologies in referenced in this package come from Canfield SL, et al (2019) "Navigating the Wild West of Medication Adherence Reporting in Specialty Pharmacy" .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.0 by Brennan Beal, a year ago

Report a bug at

Browse source code at

Authors: Brennan Beal [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, anytime, tidyr, dplyr, purrr, lubridate, rlang

Suggests testthat, spelling

Linking to Rcpp

See at CRAN