Compute all kernel matrices when simulating data

Compute all kernel matrices when simulating data

sim.kernels(
  X,
  types,
  lengthscales,
  X_affected,
  bin_kernel,
  useMaskedVarianceKernel,
  steepness,
  vm_params
)

Arguments

X

covariates

types

vector of covariate types, so that

• 1 = ID

• 2 = age

• 3 = diseaseAge

• 4 = other continuous covariate

• 5 = a categorical covariate that interacts with age

• 6 = a categorical covariate that acts as an offset

lengthscales

vector of lengthscales

X_affected

which individuals are affected by the disease

bin_kernel

whether or not binary (mask) kernel should be used for categorical covariates (if not, the zerosum kernel is used)

useMaskedVarianceKernel

should the masked variance kernel be used for drawing the disease component

steepness

steepness of the input warping function

vm_params

parameters of the variance mask function

Value

a 3D array