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#' Standardized Total Effect Matrix
#' Over a Specific Time Interval
#'
#' This function computes the standardized total effects matrix
#' over a specific time interval \eqn{\Delta t}
#' using the first-order stochastic differential equation model's
#' drift matrix \eqn{\boldsymbol{\Phi}}
#' and process noise covariance matrix \eqn{\boldsymbol{\Sigma}}.
#'
#' @details The standardized total effect matrix
#' over a specific time interval \eqn{\Delta t}
#' is given by
#' \deqn{
#' \mathrm{Total}^{\ast}_{{\Delta t}_{i, j}}
#' =
#' \mathrm{Total}_{{\Delta t}_{i, j}}
#' \left(
#' \frac{\sigma_{{x}_{j}}}{\sigma_{{y}_{i}}}
#' \right)
#' }
#' where
#' \eqn{\boldsymbol{\Phi}} denotes the drift matrix,
#' \eqn{\sigma_{{x}_{j}}} and \eqn{\sigma_{{y}_{i}}}
#' are the steady-state model-implied standard deviations
#' of the state independent and dependent variables, respectively, and
#' \eqn{\Delta t} the time interval.
#'
#' @author Ivan Jacob Agaloos Pesigan
#'
#' @inheritParams IndirectStd
#' @inherit IndirectStd references
#'
#' @return Returns an object
#' of class `ctmedeffect` which is a list with the following elements:
#' \describe{
#' \item{call}{Function call.}
#' \item{args}{Function arguments.}
#' \item{fun}{Function used ("TotalStd").}
#' \item{output}{The standardized matrix of total effects.}
#' }
#'
#' @examples
#' phi <- matrix(
#' data = c(
#' -0.357, 0.771, -0.450,
#' 0.0, -0.511, 0.729,
#' 0, 0, -0.693
#' ),
#' nrow = 3
#' )
#' colnames(phi) <- rownames(phi) <- c("x", "m", "y")
#' sigma <- matrix(
#' data = c(
#' 0.24455556, 0.02201587, -0.05004762,
#' 0.02201587, 0.07067800, 0.01539456,
#' -0.05004762, 0.01539456, 0.07553061
#' ),
#' nrow = 3
#' )
#' delta_t <- 1
#' TotalStd(
#' phi = phi,
#' sigma = sigma,
#' delta_t = delta_t
#' )
#'
#' @family Continuous-Time Mediation Functions
#' @keywords cTMed effects
#' @export
TotalStd <- function(phi,
sigma,
delta_t) {
idx <- rownames(phi)
stopifnot(
idx == colnames(phi)
)
args <- list(
phi = phi,
sigma = sigma,
delta_t = delta_t
)
output <- .TotalStd(
phi = phi,
sigma = sigma,
delta_t = delta_t
)
colnames(output) <- rownames(output) <- idx
out <- list(
call = match.call(),
args = args,
fun = "TotalStd",
output = output
)
class(out) <- c(
"ctmedeffect",
class(out)
)
out
}
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