R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
SurrogateRegression
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]
[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 04 Jun. 2026.
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
Functions, R codes and Examples using
the SurrogateRegression R package
Some associated functions: CheckInit . CheckTestSpec . CovInfo . CovTab . CovUpdate . FitBNEM . FitBNLS . FitBNR . FormatOutput . IterUpdate . MMP . ObsLogLik . ParamInit . PartitionData . RegInfo . RegTab . RegUpdate . SchurC . ScoreBNEM . SurrogateRegression . TestBNR . UpdateEM . WaldBNEM . WaldBNLS . bnr-class . bnr-method . coef.bnr . fitOLS . matDet . matIP . matInv . matOP . matQF . print.bnr . rBNR . residuals.bnr . tr . vcov.bnr .
Some associated R codes: Class.R . DataGen.R . Estimation-EM.R . Estimation-LS.R . Estimation.R . Formatting.R . Inference.R . Information-Covariance.R . Information-Regression.R . LogLikelihood.R . Partition-Data.R . RcppExports.R . Score-EM.R . SurrogateRegression-package.R . Update-Covariance.R . Update-Regression.R . Wald-EM.R . Wald-LS.R . Full SurrogateRegression package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
shinybusy
Add indicators (spinner, progress bar, gif) in your 'shiny'
applications to show the user that the ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Victor Perrier (view profile)
murphydiagram
Data and code for the paper by Ehm, Gneiting, Jordan and
Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Fabian Krueger (view profile)
phers
Use phenotype risk scores based on linked clinical and genetic data
to study Mendelian disease and ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jake Hughey (view profile)
crplyr
In order to facilitate analysis of datasets hosted on the Crunch
data platform ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Greg Freedman Ellis (view profile)
golem
An opinionated framework for building a production-ready
'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Colin Fay (view profile)
AMPLE
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management.
...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Finlay Scott (view profile)
27,268
R Packages
233,548
Dependencies
72,590
Author Associations
27,205
Publication Badges
