eval_functions {BPRMeth} | R Documentation |
Method for evaluating an M basis function model with observation
data obs
and coefficients w
.
eval_probit_function(obj, ...) eval_function(obj, ...) ## S3 method for class 'rbf' eval_function(obj, obs, w, ...) ## S3 method for class 'polynomial' eval_function(obj, obs, w, ...) ## S3 method for class 'fourier' eval_function(obj, obs, w, ...)
obj |
The basis function object. |
... |
Optional additional parameters |
obs |
Observation data. |
w |
Vector of length M, containing the coefficients of an M^{th}-order basis function. |
The evaluated function values.
NOTE that the eval_probit_function
computes the probit transformed
basis function values.
C.A.Kapourani C.A.Kapourani@ed.ac.uk
# Evaluate the probit transformed basis function values obj <- create_rbf_object(M=2) obs <- c(1,2,3) w <- c(0.1, 0.3, -0.6) out <- eval_probit_function(obj, obs, w) # ------------------------- # Evaluate the RBF basis function values obj <- create_rbf_object(M=2, mus = c(2,2.5)) obs <- c(1,2,3) w <- c(0.1, 0.3, -0.6) out <- eval_function(obj, obs, w) # ------------------------- # Evaluate the Polynomial basis function values obj <- create_polynomial_object(M=2) obs <- c(1,2,3) w <- c(0.1, 0.3, -0.6) out <- eval_function(obj, obs, w) # ------------------------- # Evaluate the Fourier basis function values obj <- create_fourier_object(M=2) obs <- c(1,2,3) w <- c(0.1, 0.3, -0.6) out <- eval_function(obj, obs, w)