Other packages > Find by keyword >

edgedata  

Datasets that Support the EDGE Server DIY Logic
View on CRAN: Click here


Download and install edgedata package within the R console
Install from CRAN:
install.packages("edgedata")

Install from Github:
library("remotes")
install_github("cran/edgedata")

Install by package version:
library("remotes")
install_version("edgedata", "0.2.0")



Attach the package and use:
library("edgedata")
Maintained by
Ethan Brockmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-24
Latest Update: 2021-02-26
Description:
Datasets from most recent CCIIO DIY entry in a tidy format. These support the Centers for Medicare and Medicaid Services' (CMS) risk adjustment Do-It-Yourself (DIY) process, which allows health insurance issuers to calculate member risk profiles under the Health and Human Services-Hierarchical Condition Categories (HHS-HCC) regression model. This regression model is used to calculate risk adjustment transfers. Risk adjustment is a selection mitigation program implemented under the Patient Protection and Affordable Care Act (ACA or Obamacare) in the USA. Under the ACA, health insurance issuers submit claims data to CMS in order for CMS to calculate a risk score under the HHS-HCC regression model. However, CMS does not inform issuers of their average risk score until after the data submission deadline. These data sets can be used by issuers to calculate their average risk score mid-year. More information about risk adjustment and the HHS-HCC model can be found here: .
How to cite:
Ethan Brockmann (2020). edgedata: Datasets that Support the EDGE Server DIY Logic. R package version 0.2.0, https://cran.r-project.org/web/packages/edgedata. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 0.1.0 (2020-04-24 18:00)
Other packages that cited edgedata R package
View edgedata citation profile
Other R packages that edgedata depends, imports, suggests or enhances
Complete documentation for edgedata
Functions, R codes and Examples using the edgedata R package
Some associated functions: adult_demo . adult_enroll_dur . adult_group . adult_hcc . adult_interaction . adult_rxc . adult_rxc_hcc_inter . cc_hier . cc_int_h . cc_int_m . cc_severe . child_demo . child_group . child_hcc . cpt_hcpcs . hcpcs_rxc . icd_cc . infant_demo . infant_mat_sev . ndc_rxc . rxc_hier . 
Some associated R codes: adult_coefs.R . cc_int.R . child_coefs.R . hcc.R . infant_coefs.R . rxc.R .  Full edgedata package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  
hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA