Other packages > Find by keyword >

comorbidity  

Computing Comorbidity Scores
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("comorbidity", "1.1.0")



Attach the package and use:
library("comorbidity")
Maintained by
Alessandro Gasparini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-08
Latest Update: 2024-07-16
Description:
Computing comorbidity indices and scores such as the weighted Charlson score (Charlson, 1987 ) and the Elixhauser comorbidity score (Elixhauser, 1998 ) using ICD-9-CM or ICD-10 codes (Quan, 2005 ). Australian and Swedish modifications of the Charlson Comorbidity Index are available as well (Sundararajan, 2004 and Ludvigsson, 2021 ), together with different weighting algorithms for both the Charlson and Elixhauser comorbidity scores.
How to cite:
Alessandro Gasparini (2018). comorbidity: Computing Comorbidity Scores. R package version 1.1.0, https://cran.r-project.org/web/packages/comorbidity. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:27), 0.0.3 (2018-01-08 14:59), 0.1.0 (2018-03-07 23:31), 0.1.1 (2018-03-30 14:06), 0.2.0 (2018-10-08 14:00), 0.3.0 (2019-03-22 19:33), 0.4.1 (2019-06-27 15:00), 0.5.0 (2019-08-20 16:40), 0.5.1 (2019-10-16 13:20), 0.5.2 (2019-10-20 18:40), 0.5.3 (2020-01-09 16:20), 1.0.0 (2022-01-17 16:52), 1.0.2 (2022-04-06 17:12), 1.0.3 (2022-07-12 12:50), 1.0.5 (2022-09-26 17:50), 1.0.7 (2023-05-01 19:10)
Other packages that cited comorbidity R package
View comorbidity citation profile
Other R packages that comorbidity depends, imports, suggests or enhances
Complete documentation for comorbidity
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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