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#' Perform composite likelihood estimation for semivariogram marginal differences
#' (Curriero and Lele, 1999)
#'
#'
#' @param data_object The data object
#' @param formula A formula
#' @param spcov_initial The spatial initial object
#' @param estmethod The estimation method
#' @param optim_dotlist The optim dotlist
#'
#' @return The composite log-likelihood estimates
#'
#' @noRd
#'
#' @references
#' Curriero, F. C., & Lele, S. (1999). A composite likelihood approach to
#' semivariogram estimation. *Journal of Agricultural, biological, and
#' Environmental statistics*, 9-28.
cov_estimate_cl <- function(data_object, formula, spcov_initial, estmethod, optim_dotlist) {
# make NA spcov_initial
spcov_initial_NA_val <- spcov_initial_NA(spcov_initial, anisotropy = data_object$anisotropy)
# store distance matrix (if applicable)
if (data_object$anisotropy) {
dist_matrix_list <- NULL
} else {
dist_matrix_list <- lapply(data_object$obdata_list, function(x) spdist(x, data_object$xcoord, data_object$ycoord))
}
cov_initial_val <- cov_initial_search(
spcov_initial_NA = spcov_initial_NA_val,
estmethod = estmethod,
data_object = data_object,
dist_matrix_list = dist_matrix_list
)
spcov_initial_val <- cov_initial_val$spcov_initial_val
if (data_object$anisotropy) {
new_coords_list <- lapply(data_object$obdata_list, transform_anis, data_object$xcoord, data_object$ycoord,
rotate = spcov_initial_val$initial[["rotate"]],
scale = spcov_initial_val$initial[["scale"]]
)
dist_matrix_list <- lapply(new_coords_list, function(x) spdist(xcoord_val = x$xcoord_val, ycoord_val = x$ycoord_val))
}
if (all(spcov_initial_val$is_known)) {
spcov_estimate_val <- use_glogclik_known(spcov_initial_val, data_object, dist_matrix_list, data_object$partition_list)
} else {
spcov_estimate_val <- use_glogclik(spcov_initial_val, data_object, dist_matrix_list, data_object$partition_list, optim_dotlist)
}
spcov_estimate_val
}
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