22 lines
900 B
R
22 lines
900 B
R
|
# Second weighting vector of the modified quadratic estimating equation (Crowder)
|
||
|
|
#
|
||
|
|
# Author: Francois Pelletier
|
||
|
|
#
|
||
|
|
# LGPL-3.0
|
||
|
|
###############################################################################
|
||
|
|
|
||
|
|
#' Second weighting vector of the modified quadratic estimating equation (Crowder)
|
||
|
|
#'
|
||
|
|
#' @param param Vector of parameters of the distribution function
|
||
|
|
#' @param Y Individual data sample
|
||
|
|
#' @param variancef Variance function of the distribution
|
||
|
|
#' @param dmean Derivative in respect to the parameter vector of the mean function of the distribution
|
||
|
|
#' @param dsd Derivative in respect to the parameter vector of the standard deviation function of the distribution
|
||
|
|
#' @return First weighting vector
|
||
|
|
#'
|
||
|
|
#' @author Francois Pelletier
|
||
|
|
a.Crowder.Mod <- function(param,Y,variancef,dmean,dsd)
|
||
|
|
{
|
||
|
|
(moments::skewness(Y)*dmean(param)-2*dsd(param)) /
|
||
|
|
(variancef(param)^(3/2)*gammaf.Crowder.Mod(Y))
|
||
|
|
}
|