% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/stochastic_orders.R
\name{biv_brlmr_order}
\alias{biv_brlmr_order}
\title{Bivariate Relative Mean Residual Life Order}
\usage{
biv_brlmr_order(
  surv_X,
  surv_Y,
  t2_fixed = 0.5,
  t1_grid = seq(0.2, 3, by = 0.3),
  tol = 1e-06
)
}
\arguments{
\item{surv_X, surv_Y}{Joint survival functions.}

\item{t2_fixed}{Fixed value of \eqn{t_2} for the univariate slices.}

\item{t1_grid}{Grid of \eqn{t_1} values.}

\item{tol}{Tolerance.}
}
\value{
List with \code{order_holds} and \code{ratio_values}.
}
\description{
Checks whether \eqn{X \le_{\rm brlmr} Y}: the ratio
\eqn{m_{i,Y}(t_1,t_2) / m_{i,X}(t_1,t_2)} is increasing in \eqn{t_i}.
}
\examples{
sX <- function(x1, x2) sgumbel_biv(x1, x2, k1 = 2, k2 = 1)
sY <- function(x1, x2) sgumbel_biv(x1, x2, k1 = 1, k2 = 1)
biv_brlmr_order(sX, sY, t2_fixed = 0.5)

}
\references{
Kayid M., Izadkhah S., Alshami S. (2016). Residual probability function,
associated orderings, and related aging classes. *Statistics and Probability
Letters*, 116, 37--47.
}
