24 lines
932 B
R
24 lines
932 B
R
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# Quadratic estimating equation (gaussian)
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#
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# Author: Francois Pelletier
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#
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# LGPL-3.0
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###############################################################################
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#' Quadratic estimating equation (gaussian)
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#' @param Y Individual data sample
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#' @param param Vector of parameters of the distribution function
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#' @param meanf Mean function of the distribution
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#' @param variancef Variance function of the distribution
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#' @param dmean Derivative in respect to the parameter vector of the mean function of the distribution
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#' @param dsd Derivative in respect to the parameter vector of the standard deviation function of the distribution
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#' @return The vector value of the estimating equation
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#'
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#' @author Francois Pelletier
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eqn.gauss <- function(param,Y,meanf,variancef,dmean,dsd)
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{
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a.gauss(param,variancef,dmean,dsd) * sum(Y-meanf(param)) +
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b.gauss(param,variancef,dmean,dsd) * sum((Y-meanf(param))^2-variancef(param))
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}
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