SurrogateRegression (version 0.6.0.1)

PartitionData: Partition Data by Outcome Missingness Pattern.

Description

Partition Data by Outcome Missingness Pattern.

Usage

PartitionData(t, s, X, Z = NULL)

Value

List containing these components:

• `Orig` original data.

• `Dims` dimensions and names.

• `Complete`, data for complete cases.

• `TMiss`, data for subjects with target missingness.

• `SMiss`, data for subjects with surrogate missingness.

• `IPs`, inner products.

Arguments

t

Target outcome vector.

s

Surrogate outcome vector.

X

Target model matrix.

Z

Surrogate model matrix.

Examples

# Generate data.
n <- 1e3
X <- rnorm(n)
Z <- rnorm(n)
data <- rBNR(X = X, Z = Z, b = 1, a = -1)
data_part <- PartitionData(
  t = data[, 1], 
  s = data[, 2], 
  X = X, 
  Z = Z
)