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Searched refs:lnprices (Results 1 – 4 of 4) sorted by relevance

/dports/science/R-cran-bayesm/bayesm/R/
H A Dsimnhlogit.R1 simnhlogit=function(theta,lnprices,Xexpend) { argument
15 m=ncol(lnprices)
16 n=nrow(lnprices)
23 c1=as.vector(Xexpend%*%gamma)%x%iotam-as.vector(t(lnprices))+alpha
26 v=alpha - u*exp(k)-as.vector(t(lnprices))
41 return(list(y=y,Xexpend=Xexpend,lnprices=lnprices,theta=theta,prob=Prob)) nameattr
H A Dllnhlogit.R1 llnhlogit=function(theta,choice,lnprices,Xexpend) argument
16 m=ncol(lnprices)
24 c1=as.vector(Xexpend%*%gamma)%x%iotam-as.vector(t(lnprices))+alpha
27 v=alpha - u*exp(k)-as.vector(t(lnprices))
/dports/science/R-cran-bayesm/bayesm/man/
H A Dsimnhlogit.Rd10 \usage{simnhlogit(theta, lnprices, Xexpend)}
14 \item{lnprices }{ \eqn{n x p} array of prices }
24 \item{lnprices }{ price array }
45 lnprices = matrix(runif(N*p), ncol=p)
48 simdata = simnhlogit(theta, lnprices, Xexpend)
H A Dllnhlogit.Rd12 \usage{llnhlogit(theta, choice, lnprices, Xexpend)}
17 \item{lnprices}{ \eqn{n x p} array of log-prices}
52 lnprices = matrix(runif(N*p), ncol=p)
54 simdata = simnhlogit(theta, lnprices, Xexpend)
57 llstar = llnhlogit(theta, simdata$y, simdata$lnprices, simdata$Xexpend)