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 25 Jun. 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

sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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