R/mle_dst.R

In ecrc/exageostatR: R Package Demonstrates the R / C Language Interface for Exageostat

#
#
# Copyright (c) 2017-2023 King Abdullah University of Science and Technology
# All rights reserved.
#
# ExaGeoStat-R is a software package provided by KAUST
#
#
#
# @file mle_dst.R
# ExaGeoStat R wrapper functions
#
# @version 1.2.0
#
# @author Sameh Abdulah
# @date 2021-06-20

library(assertthat)

#' Maximum Likelihood Evaluation (MLE) using Diagonal Super-tile (DST) method
#' @param data A list of x vector (x-dim), y vector (y-dim), and z observation vector
#' @param kernel: string - kernel  ("ugsm-s", "ugsmn-s",  "bgsfm-s", "bgspm-s", "tgspm-s", "ugsm-st", "bgsm-st")
#' @param dst_band  A number - Diagonal Super-Tile (DST) diagonal thick
#' @param dmetric  A string -  distance metric - "euclidean" or "great_circle"
#' @param optimization  A list of opt lb (clb), opt ub (cub), tol, max_iters
#' @return vector of three values (theta1, theta2, theta3)
#' @examples
#' seed <- 0 ## Initial seed to generate XY locs.
#' dmetric <- "euclidean" ## "euclidean" or "great_circle" distance.
#' n <- 900 ## The number of locations (n must be a square number, n=m^2).
#' dst_band <- 3 ## Number of used Diagonal Super Tile (DST).
#' kernel <- "ugsm-s"
#' theta <- c(1, 0.1, 0.5)                                     #Params vector.
#' exageostat_init(hardware = list(ncores = 4, ngpus = 0, ts = 320, lts = 0, pgrid = 1, qgrid = 1)) ## Initiate exageostat instance
#' data <- simulate_data_exact(kernel, theta, dmetric, n, seed) ## Generate Z observation vector
#' ## Estimate MLE parameters (TLR approximation)
#' result <- dst_mle(data, kernel, dst_band, dmetric, optimization = list(clb = c(0.001, 0.001, 0.001), cub = c(5, 5, 5), tol = 1e-4, max_iters = 4))
#' print(result)
#' exageostat_finalize() ## Finalize exageostat instance
dst_mle <-
    function(data = list(x, y, z),
             kernel=c("ugsm-s", "ugsmn-s",  "bgsfm-s", "bgspm-s", "tgspm-s", "ugsm-st", "bgsm-st"),
             dst_band = 2,
             dmetric = c("euclidean", "great_circle"),
             optimization = list(
                                 clb = c(0.001, 0.001, 0.001),
                                 cub = c(5, 5, 5),
                                 tol = 1e-4,
                                 max_iters = 100
                                 )) {
        if (!exists("active_instance") || active_instance == 0) {
            print("No active ExaGeoStatR instance.")
        }
        else {
            kernel  <- check_kernel(kernel)
            dmetric <- arg_check_mle(data, dmetric, optimization)
            assert_that(length(dst_band) == 1)
            assert_that(dst_band >= 1)
            n <- length(data$x)
            n <- as.integer(n)
            optimization$max_iters <- as.integer(optimization$max_iters)
            theta_out2 <- .C(
                             "mle_dst",
                             as.double(data$x),
                             as.integer((n)),
                             as.double(data$y),
                             as.integer((n)),
                             as.double(data$z),
                             as.integer((n)),
                             as.integer(kernel),
                             as.double(optimization$clb),
                             as.integer((3)),
                             as.double(optimization$cub),
                             as.integer((3)),
                             as.integer(dst_band),
                             as.integer(dmetric),
                             as.integer(n),
                             as.double(optimization$tol),
                             as.integer(optimization$max_iters),
                             as.integer(ncores),
                             as.integer(ngpus),
                             as.integer(dts),
                             as.integer(pgrid),
                             as.integer(qgrid),
                             theta_out = double(6)
                             )$theta_out

            newList <-
                list(
                     "sigma_sq" = theta_out2[1],
                     "beta" = theta_out2[2],
                     "nu" = theta_out2[3],
                     "time_per_iter" = theta_out2[4],
                     "total_time" = theta_out2[5],
                     "no_iters" = theta_out2[6]
                     )
            print("MLE_DST function (done). Hit key....")
            return(newList)
        }
    }