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