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 06 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

openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
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