Description Usage Arguments Value
This function predicts individual curves given the estimated parameters and predicted warps.
1 2 3 |
t_p |
evaluation points for prediction. |
t |
observation points. |
y |
observation values. |
basis_fct |
basis function to describe the mean function. |
c |
weights for basis functions. |
warp_fct |
warping function. |
w |
warping parameters (optional). If parameters are not supplied, they are predicted from the parameter estimates in the model. |
amp_cov |
amplitude covariance matrix function. |
amp_cov_par |
amplitude covariance parameters. |
amp_fct |
functional basis that amplitude variation should be expressed in. If used, it is assumed that iid. Gaussian noise is present in the data. |
warp_cov |
warp covariance matrix function. If |
warp_cov_par |
warp covariance parameters. If |
deriv |
logical. Should the derivative of the curve be predicted? |
verbose_output |
logical. Should output also include predicted warps, residuals and the value of the posterior w | y. |
predicted curve
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