| 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]