Predict function of ngme2 predict using ngme after estimation

# S3 method for class 'ngme'
predict(
  object,
  map,
  data = NULL,
  type = "lp",
  group = NULL,
  estimator = c("mean", "sd", "5quantile", "95quantile", "median", "mode"),
  sampling_size = 100,
  burnin_size = 100,
  q = NULL,
  seed = Sys.time(),
  ...
)

Arguments

object: a ngme object
map: a named list (or dataframe) of the locations to make the prediction
data: a data.frame or matrix of covariates (used for fixed effects) names(loc) corresponding to the name each latent model vector or matrix (n * 2) for spatial coords
type: what type of prediction, c("fe", "lp", <model_name>) "fe" is fixed effect prediction <model_name> is prediction of a specific model "lp" is linear predictor (including fixed effect and all sub-models)
group: which filed to predict (used for bivariate model, should be of same length as map)
estimator: what type of estimator, c("mean", "median", "mode", "quantile")
sampling_size: size of posterior sampling
burnin_size: size of posterior burnin
q: quantile if using "quantile"
seed: random seed
...: extra argument from 0 to 1 if using "quantile"

Value

a list of outputs contains estimation of operator paramters, noise parameters