Revision 593 trunk/contrib/statslib/dnbinom.cpp

dnbinom.cpp (revision 593)
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	\param mu is the expected mean number of successful trials.
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	\return the negative log likelihood for the negative binomial distribution.
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	\sa
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    \ingroup STATLIB
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**/
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dvariable dnbinom(const double& x,const prevariable& mu, const prevariable& size)
......
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\param mu is the predicted mean
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\param k is the overdispersion parameter, i.e. shape parameter of underlying heterogeneity (different from tau). should be >0
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\return negative log likelihood \f$ -( \ln(\Gamma(x+k))-\ln(\Gamma(k))-\ln(x!)+k\ln(k)+x\ln(\mu)-(k+x)\ln(k+\mu) )\f$
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\ingroup STATLIB
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**/
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df1b2variable dnbinom(const double& x, const df1b2variable& mu, const df1b2variable& k)
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{
......
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\param mu is the predicted mean
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\param k is the overdispersion parameter, i.e. shape parameter of underlying heterogeneity (different from tau). should be >0
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\return negative log likelihood \f$ -( \ln(\Gamma(x+k))-\ln(\Gamma(k))-\ln(x!)+k\ln(k)+x\ln(\mu)-(k+x)\ln(k+\mu) )\f$
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\ingroup STATLIB
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**/
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df1b2variable dnbinom(const dvector& x, const df1b2vector& mu, const df1b2variable& k)
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{
......
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\param mu is the predicted mean
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\param k is the overdispersion parameter, i.e. size, i.e. shape parameter of underlying heterogeneity (different from tau). should be >0
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\return negative log likelihood \f$ -( \ln(\Gamma(x+k))-\ln(\Gamma(k))-\ln(x!)+k\ln(k)+x\ln(\mu)-(k+x)\ln(k+\mu) )\f$
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\ingroup STATLIB
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**/
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df1b2variable dnbinom(const dvector& x, const df1b2vector& mu, const df1b2vector& k)
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{
......
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\param mu is the predicted mean
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\param k is the overdispersion parameter, i.e. size, i.e. shape parameter of underlying heterogeneity (different from tau). should be >0
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\return negative log likelihood \f$ -( \ln(\Gamma(x+k))-\ln(\Gamma(k))-\ln(x!)+k\ln(k)+x\ln(\mu)-(k+x)\ln(k+\mu) )\f$
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\ingroup STATLIB
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**/
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dvariable dnbinom(const dvector& x, const dvar_vector& mu, const prevariable& k)
......
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\param mu is the predicted mean
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\param k is the overdispersion parameter, i.e. size, i.e. shape parameter of underlying heterogeneity (different from tau). should be >0
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\return negative log likelihood \f$ -( \ln(\Gamma(x+k))-\ln(\Gamma(k))-\ln(x!)+k\ln(k)+x\ln(\mu)-(k+x)\ln(k+\mu) )\f$
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\ingroup STATLIB
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**/
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dvariable dnbinom(const dvector& x, const dvar_vector& mu, const dvar_vector& k)
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{

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