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SurrogateRegression

0.6.0.1Package record

Surrogate Outcome Regression Analysis

0packages depend
3Kdownloads / year
92.2%test coverage
13/13flavors OK

Overview

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.6.0.1
READMENoVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
38includes a package overview page
Examples that run
50%2 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3K
CRAN downloads in the past year
Rank #14,135 · ~8/day · ~251/mo
Daily download trend is not available in this view yet.
29330 days
82590 days
3K1 year
Compare downloads with other packages →
Also on375 r2u8 autocran47 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing SurrogateRegression adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 3.4.0
Imports (3)
methodsRcppstats
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.5.0 (2020)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.6.0.1Latest
    record
    2023-10-01 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.6.0
    record
    2022-08-05 · diff ↗ ·
    removed 7 exports
    Fit.BNEM, Fit.BNLS, Fit.BNR, Score.BNEM, Test.BNR, Wald.BNEM, Wald.BNLS
    added 2 exports
    FitBNR, TestBNR
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.5.0
    record
    2020-12-03
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-12-03
Total releases
3 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.4.0
Download size
449 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SurrogateRegression")
McCaw, Z. (2023). SurrogateRegression: Surrogate Outcome Regression Analysis (Version 0.6.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.SurrogateRegression

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SurrogateRegression version 0.6.0.1 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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