Description Usage Arguments Details Value Author(s) See Also Examples
Simulate data with binary outcome and 10 covariates.
1 2 3 4  sampleData(n,outcome="competing.risks",
formula= ~ f(X1,2)+f(X2,0.033)+f(X3,0.4)+f(X6,.1)+f(X7,.1)+f(X8,.5)+f(X9,1))
sampleDataTD(n,n.intervals=5,outcome="competing.risks",
formula= ~ f(X1,2)+f(X2,0.033)+f(X3,0.4)+f(X6,.1)+f(X7,.1)+f(X8,.5)+f(X9,1))

n 
Sample size 
outcome 
Character vector. Response variables are generated
according to keywords: 
formula 
Specify regression coefficients 
n.intervals 

For the actual lava::regression parameters see the function definition.
Simulated data as data.table with n rows and the following columns: Y (binary outcome), time (nonbinary outcome), event (nonbinary outcome), X1X5 (binary predictors), X6X10 (continous predictors)
Thomas A. Gerds <[email protected]>
lvm
1 2 3  sampleData(10,outcome="binary")
sampleData(10,outcome="survival")
sampleData(10,outcome="competing.risks")

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