Other packages > Find by keyword >

SurrogateRegression  

Surrogate Outcome Regression Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SurrogateRegression", "0.6.0.1")



Attach the package and use:
library("SurrogateRegression")
Maintained by
Zachary McCaw
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-03
Latest Update: 2023-10-01
Description:
Performs estimation and inference on a partially missing target outcome (e.g. gene expression in an inaccessible tissue) while borrowing information from a correlated surrogate outcome (e.g. gene expression in an accessible tissue). Rather than regarding the surrogate outcome as a proxy for the target outcome, this package jointly models the target and surrogate outcomes within a bivariate regression framework. Unobserved values of either outcome are treated as missing data. In contrast to imputation-based inference, no assumptions are required regarding the relationship between the target and surrogate outcomes. Estimation in the presence of bilateral outcome missingness is performed via an expectation conditional maximization either algorithm. In the case of unilateral target missingness, estimation is performed using an accelerated least squares procedure. A flexible association test is provided for evaluating hypotheses about the target regression parameters. For additional details, see: McCaw ZR, Gaynor SM, Sun R, Lin X: "Leveraging a surrogate outcome to improve inference on a partially missing target outcome" <doi:10.1111/biom.13629>.
How to cite:
Zachary McCaw (2020). SurrogateRegression: Surrogate Outcome Regression Analysis. R package version 0.6.0.1, https://cran.r-project.org/web/packages/SurrogateRegression. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.5.0 (2020-12-03 11:10), 0.6.0 (2022-08-05 22:40)
Other packages that cited SurrogateRegression R package
View SurrogateRegression citation profile
Other R packages that SurrogateRegression depends, imports, suggests or enhances
Complete documentation for SurrogateRegression
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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