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adheRenceRX
View on CRAN: Click
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Download and install adheRenceRX package within the R console
Install from CRAN:
install.packages("adheRenceRX")
Install from Github:
library("remotes")
install_github("cran/adheRenceRX")
Install by package version:
library("remotes")
install_version("adheRenceRX", "1.0.0")
Attach the package and use:
library("adheRenceRX")
Maintained by
Brennan Beal
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-20
Latest Update: 2020-11-20
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" .
How to cite:
Brennan Beal (2020). adheRenceRX: Assess Medication Adherence from Pharmaceutical Claims Data. R package version 1.0.0, https://cran.r-project.org/web/packages/adheRenceRX
Previous versions and publish date:
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imports, suggests or enhances
Functions, R codes and Examples using
the adheRenceRX R package
Some associated functions: big_data_toy . calculate_pdc . date_check . episode_check . identify_gaps . propagate_date . rank_episodes . summarise_gaps . toy_claims .
Some associated R codes: BigData_toy.R . Calculations.R . Dates.R . Episodes.R . Gaps.R . RcppExports.R . adheRenceRX.R . toy_claims.R . Full adheRenceRX package functions and examples
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