Surrogate Outcome Regression Analysis

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Documentation for package ‘SurrogateRegression’ version 0.6.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

SurrogateRegression-package	SurrogateRegression: Surrogate Outcome Regression Analysis
bnr-class	Bivariate Regression Model
CheckInit	Check Initiation
CheckTestSpec	Check Test Specification
coef.bnr	Extract Coefficients from Bivariate Regression Model
CovInfo	Covariance Information Matrix
CovTab	Tabulate Covariance Parameters
CovUpdate	Covariate Update
FitBNEM	Fit Bivariate Normal Regression Model via Expectation Maximization.
FitBNLS	Fit Bivariate Normal Regression Model via Least Squares
FitBNR	Fit Bivariate Normal Regression Model
fitOLS	Ordinary Least Squares
FormatOutput	Format Output
IterUpdate	Update Iteration
matDet	Matrix Determinant
matInv	Matrix Inverse
matIP	Matrix Inner Product
matOP	Matrix Outer Product
matQF	Quadratic Form
MMP	Matrix Matrix Product
ObsLogLik	Observed Data Log Likelihood
ParamInit	Parameter Initialization
PartitionData	Partition Data by Outcome Missingness Pattern.
print.bnr	Print for Bivariate Regression Model
rBNR	Simulate Bivariate Normal Data with Missingness
RegInfo	Regression Information
RegTab	Tabulate Regression Coefficients
RegUpdate	Regression Update
residuals.bnr	Extract Residuals from Bivariate Regression Model
SchurC	Schur complement
ScoreBNEM	Score Test via Expectation Maximization.
show-method	Show for Bivariate Regression Model
SurrogateRegression	SurrogateRegression: Surrogate Outcome Regression Analysis
TestBNR	Test Bivariate Normal Regression Model.
tr	Matrix Trace
UpdateEM	EM Update
vcov.bnr	Extract Covariance Matrix from Bivariate Normal Regression Model
WaldBNEM	Wald Test via Expectation Maximization.
WaldBNLS	Wald Test via Least Squares.