sim_cond_normal {SpatialGEV} | R Documentation |
Create a helper function to simulate from the conditional normal distribution of new data given old data
Description
Create a helper function to simulate from the conditional normal distribution of new data given old data
Usage
sim_cond_normal(joint.mean, a, locs_new, locs_obs, kernel, ...)
Arguments
joint.mean |
The length |
a |
A vector of length |
locs_new |
A matrix containing the coordiantes of new locations |
locs_obs |
A matrix containing the coordinates of observed locations |
kernel |
A function (kernel function) that returns a matrix containing the similarity between the two arguments. |
... |
Hyperparameters to pass to the kernel function. |
Details
This serves as a helper function for spatialGEV_predict
. The notations are consistent to the notations on the MVN wikipedia page
Value
A function that takes in one argument n
as the number of samples to draw from the condition normal distribution
of locs_new
given locs_obs
: either from rmvnorm
for MVN or rnorm
for univariate normal. The old and new data are assumed to follow a joint multivariate normal distribution.