Description Usage Arguments Functions
Accessor functions for ipriorMod
objects.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39  get_intercept(object)
get_y(object)
get_size(object, units = "kB", standard = "SI")
get_hyp(object)
get_lambda(object)
get_psi(object)
get_lengthscale(object)
get_hurst(object)
get_offset(object)
get_degree(object)
get_se(object)
get_kernels(object)
get_kern_matrix(object, theta = NULL, newdata)
get_prederror(object, error.type = c("RMSE", "MSE"))
get_estl(object)
get_method(object)
get_convergence(object)
get_niter(object)
get_time(object)
get_theta(object)

object 
An 
units 
Units for object size. 
standard 
Standard for object size. 
theta 
(Optional) Value of hyperparameters to evaluate the kernel matrix. 
newdata 
(Optional) If not supplied, then a square, symmetric kernel matrix is returned using the data as input points. Otherwise, the kernel matrix is evaluated with respect to this set of data as well. It must be a list of vectors/matrices with similar dimensions to the original data. 
error.type 
(Optional) Report the mean squared error of prediction
( 
get_intercept
: Obtain the intercept.
get_y
: Obtain the response variables.
get_size
: Obtain the object size of the Iprior model.
get_hyp
: Obtain the hyerparameters of the model (both estimated and fixed ones).
get_lambda
: Obtain the scale parameters used.
get_psi
: Obtain the error precision.
get_lengthscale
: Obtain the lengthscale for the SE kernels used.
get_hurst
: Obtain the Hurst coefficient of the fBm kernels used.
get_offset
: Obtain the offset parameters for the polynomial kernels used.
get_degree
: Obtain the degree of the polynomial kernels used.
get_se
: Obtain the standard errors of the estimated hyperparameters.
get_kernels
: Obtain the kernels used.
get_kern_matrix
: Obtain the kernel matrix of the Iprior model.
get_prederror
: Obtain the training mean squared error.
get_estl
: Obtain information on which hyperparameters were
estimated and which were fixed.
get_method
: Obtain the estimation method used.
get_convergence
: Obtain the convergence information.
get_niter
: Obtain the number of iterations performed.
get_time
: Obtain the time taken to complete the estimation
procedure.
get_theta
: Extract the theta value at convergence. Note that this
is on an unrestricted scale (see the vignette for details).
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