CRAN/E | SurrogateRegression

SurrogateRegression

Surrogate Outcome Regression Analysis

Installation

About

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.

Key Metrics

Version 0.6.0.1
R ≥ 3.4.0
Published 2023-10-01 63 days ago
Needs compilation? yes
License GPL-3
CRAN checks SurrogateRegression results

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Maintainer

Maintainer

Zachary McCaw

zmccaw@alumni.harvard.edu

Authors

Zachary McCaw

aut / cre

Material

Reference manual
Package source

In Views

MissingData
Omics

Vignettes

Surrogate Outcome Regression Analysis

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SurrogateRegression archive

Depends

R ≥ 3.4.0

Imports

methods
Rcpp
stats

Suggests

testthat ≥ 3.0.0
knitr
rmarkdown
withr

LinkingTo

Rcpp
RcppArmadillo