riskRegression (version 1.4.3)

sampleData: Simulate data with binary or time-to-event outcome

Description

Simulate data with binary outcome and 10 covariates.

Usage

sampleData(n, outcome = "competing.risks", formula = ~f(X1, 2) + f(X2,
  -0.033) + f(X3, 0.4) + f(X6, 0.1) + f(X7, -0.1) + f(X8, 0.5) + f(X9, -1))

Arguments

n

Sample size

outcome

Character vector. Response variables are generated according to keywords: "binary" = binary response, "survival" = survival response, "competing.risks" = competing risks response

formula

Specify regression coefficients

Value

Simulated data as data.table with n rows and the following columns: Y (binary outcome), time (non-binary outcome), event (non-binary outcome), X1-X5 (binary predictors), X6-X10 (continous predictors)

Details

For the actual lava::regression parameters see the function definition.

See Also

lvm

Examples

# NOT RUN {
sampleData(10,outcome="binary")
sampleData(10,outcome="survival")
sampleData(10,outcome="competing.risks")
# }