kovMat | R Documentation |
The machinery for handling dynamical covariance structure
kovMat(t, a, tw, timefunction, stack = TRUE, noise = 0, ...)
t |
evalutation points |
a |
list of matrices |
tw |
Anchor points. Must be in increasing order |
timefunction |
Temporal covariance structure |
stack |
How should the observations be ordered? TRUE corresponds to coordinate-/column-major ordering which is required by ppMUlti, while FALSE is the alternative ordering, time-/row-major ordering. |
noise |
Noise. Either a single number or a vector of length K*length(t) |
... |
Parameters passed to timefunction |
A positive definite covariance matrix
See pdf simm.fda for introduction and of details of dynamical covariance structure
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