Package: adheRenceRX
Type: Package
Title: Assess Medication Adherence from Pharmaceutical Claims Data
Version: 1.0.0.9000
Date: 2020-10-27
Authors@R: person("Brennan", "Beal", email = "brennanbeal@gmail.com",
  role = c("aut", "cre"))
Description: 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" <doi:10.18553/jmcp.2019.25.10.1073>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.5), anytime, tidyr, dplyr, purrr, lubridate,
        rlang
LinkingTo: Rcpp
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat, spelling
URL: https://github.com/btbeal/adheRenceRX
BugReports: https://github.com/btbeal/adheRenceRX/issues
Language: en-US
Config/pak/sysreqs: libicu-dev
Repository: https://btbeal.r-universe.dev
Date/Publication: 2020-12-01 19:17:16 UTC
RemoteUrl: https://github.com/btbeal/adherencerx
RemoteRef: HEAD
RemoteSha: 8b0f9a125389f4160adcc4031d8386a3ab43fc00
NeedsCompilation: yes
Packaged: 2026-07-19 09:26:18 UTC; root
Author: Brennan Beal [aut, cre]
Maintainer: Brennan Beal <brennanbeal@gmail.com>