Package: SurrogateRegression
Title: Surrogate Outcome Regression Analysis
Date: 2020-12-01
Version: 0.5.0
Authors@R: 
    person(given = "Zachary",
           family = "McCaw",
           role = c("aut", "cre"),
           email = "zmccaw@alumni.harvard.edu",
           comment = c(ORCID = "0000-0002-2006-9828")
           )
Description: Performs estimation and inference on a partially missing target outcome while borrowing information from a correlated surrogate outcome to increase estimation precision and improve power. The target and surrogate outcomes are jointly modeled within a bivariate outcome regression framework. Unobserved values of either outcome are regarded as missing data. Estimation in the presence of bilateral outcome missingness is performed via an expectation conditional maximization algorithm. A flexible association test is provided for evaluating hypotheses about the target regression parameters. See McCaw ZR, Gaynor SM, Sun R, Lin X; “Cross-tissue eQTL mapping in the presence of missing data via surrogate outcome analysis” <doi:10.1101/2020.11.29.403063>.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: methods, mvnfast, plyr, Rcpp, stats
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-12-01 15:47:59 UTC; zmccaw
Author: Zachary McCaw [aut, cre] (<https://orcid.org/0000-0002-2006-9828>)
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>
Repository: CRAN
Date/Publication: 2020-12-03 10:10:03 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 04:56:11 UTC; windows
Archs: i386, x64
