teffEst: STFIT Temporal Effect Estimation

Description

STFIT Temporal Effect Estimation

Usage

teffEst(
  ids,
  doy,
  rmat,
  doyeval = seq(min(doy), max(doy)),
  h.cov = 100,
  h.sigma2 = 300,
  weight.cov = NULL,
  weight.sigma2 = NULL,
  pve = 0.99,
  t.grid = NULL,
  t.grid.num = 50,
  var.est = FALSE
)

Value

List of length 2 with entries:

teff_array: 3-d array with first dimention 'ids', second dimention 'doy' and third dimention pixel index.
teff_var_array: same structure as teff_array if var.est is TRUE, otherwise NULL.

Arguments

ids: ids for 'group', for data with repeated measurement over years, year is ids; for pixels belong to certain clusters, cluster is ids.
doy: vecotr of DOY (day of the year)
rmat: residual matrix with rows corresponding to doy and columns corresponding to pixel index
doyeval: a vector of DOY on which to get the temporal imputation
h.cov: bandwidth for temporal covariance estimation; ignored if weight.cov is supplied
h.sigma2: bandwidth for temporal variance estimation
weight.cov: weight vector for temporal covariance estimation
weight.sigma2: weight vector for temporal variance estimation
pve: percentage of variance explained; used for number of eigen values selection. Default is 0.99.
t.grid: a vector of grid points on which to calculate the temporal covariance function
t.grid.num: number of grid points to use for temporal covariance estimation. Ignored if t.grid is given.
var.est: Whether to estimate the variance of the temporal effect. Default is FALSE.