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]
First Published: 2020-12-03
Latest Update: 2022-08-05
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 21 Apr. 2025.
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
03/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/19Downloads for SurrogateRegression0246810121416182022242628TrendBars

Today's Hot Picks in Authors and Packages

HellCor  
The Hellinger Correlation
Empirical value of the Hellinger correlation, a measure of dependence between two continuous random ...
Download / Learn more Package Citations See dependency  
discretecdAlgorithm  
Coordinate-Descent Algorithm for Learning Sparse Discrete Bayesian Networks
Structure learning of Bayesian network using coordinate-descent algorithm. This algorithm is design ...
Download / Learn more Package Citations See dependency  
bigsparser  
Sparse Matrix Format with Data on Disk
Provide a sparse matrix format with data stored on disk, to be used in both R and C++. This is inte ...
Download / Learn more Package Citations See dependency  
bssn  
Birnbaum-Saunders Model
It provides the density, distribution function, quantile function, random number generator, reliabil ...
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  

24,098

R Packages

207,311

Dependencies

65,069

Author Associations

24,099

Publication Badges

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