loglk_censor_MVN {VeccTMVN} | R Documentation |
Compute censored multivariate normal (MVN) log-probabilities that have spatial covariance matrices using Vecchia approximation
Description
Compute censored multivariate normal (MVN) log-probabilities that have spatial covariance matrices using Vecchia approximation
Usage
loglk_censor_MVN(
locs,
indCensor,
y,
bCensor,
covName = NULL,
covParms = NULL,
m = 30,
NLevel1 = 10,
NLevel2 = 1000,
verbose = TRUE
)
Arguments
locs |
location (feature) matrix n X d |
indCensor |
indices of locations that have only censored observations |
y |
observed (not censored) values, of length n |
bCensor |
upper bound, above which observations are not censored, can be different for different locations, of length 1 or n |
covName |
covariance function name from the 'GpGp' package |
covParms |
parameters for 'covName' |
m |
Vecchia conditioning set size |
NLevel1 |
first level Monte Carlo sample size |
NLevel2 |
second level Monte Carlo sample size |
verbose |
verbose level |
Value
estimated MVN probability and estimation error
[Package VeccTMVN version 1.0.0 Index]