% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/bivariate_laplace_reversed.R
\name{biv_rhazard_gradient}
\alias{biv_rhazard_gradient}
\title{Bivariate Reversed Hazard Gradient}
\usage{
biv_rhazard_gradient(x1, x2, cdf_fn = NULL, theta = 0, eps = 1e-07)
}
\arguments{
\item{x1, x2}{Positive evaluation points.}

\item{cdf_fn}{Joint CDF function; defaults to FGM with parameter
\code{theta}.}

\item{theta}{FGM parameter (used when \code{cdf_fn = NULL}).}

\item{eps}{Numerical differentiation step.}
}
\value{
Named numeric vector \code{(rh1, rh2)}.
}
\description{
Computes the bivariate reversed hazard gradient
\deqn{h_i(x_1,x_2) = \frac{\partial}{\partial x_i}\log F(x_1,x_2),
  \quad i = 1, 2.}
}
\examples{
biv_rhazard_gradient(x1 = 0.5, x2 = 0.5, theta = 0.3)

}
\references{
Jayalekshmi S., Rajesh G. — IJRQSE, Section 2.
}
