Functions for simulating data
.simulate.block(n, p, mode, family = "gaussian")
.simulate.grid(n, p, rho, pi, family = "gaussian")
.simulate.mode(n, p, mode, family = "gaussian")
Arguments
- n
sample size:
positive integer
- p
dimensionality:
positive integer
- mode
character "sparse", "dense" or "mixed"
- family
character "gaussian", "binomial" or "poisson"
- rho
correlation:
numeric between \(0\) and \(1\)
- pi
effects:
numeric between \(0\) (sparse) and \(1\) (dense)
Value
List of vector y and matrix X.