29 lines
1 KiB
R
29 lines
1 KiB
R
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# M Matrix (Crowder)
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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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#' M Matrix (Crowder)
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#'
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#' Identical to the V matrix by definition
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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 variancef Variance function of the distribution
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#' @param skewnessf Skewness function of the distribution
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#' @param kurtosisf Kurtosis 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 M Matrix
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#'
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#' @author Francois Pelletier
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M.Crowder <- function(param,Y,variancef,skewnessf,kurtosisf,dmean,dsd)
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{
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((dmean(param) %o% dmean(param))+
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((skewnessf(param)*dmean(param)-2*dsd(param)) %o%
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(skewnessf(param)*dmean(param)-2*dsd(param)))/
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gammaf.Crowder(param,skewnessf,kurtosisf))/
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variancef(param)
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}
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