teffEst: STFIT Temporal Effect Estimation

In stfit: Spatio-Temporal Functional Imputation Tool

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
)

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.

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.

stfit documentation built on Oct. 18, 2022, 5:07 p.m.