R/bprobgHsDiscr1.r

Defines functions bprobgHsDiscr1

Documented in bprobgHsDiscr1

bprobgHsDiscr1 <- function(params, respvec, VC, ps, AT = FALSE){

 p1 <- p2 <- pdf1 <- pdf2 <- c.copula.be2 <- c.copula.be1 <- c.copula2.be1be2 <- NA

   eta1 <- VC$X1%*%params[1:VC$X1.d2]
   eta2 <- VC$X2%*%params[(VC$X1.d2+1):(VC$X1.d2+VC$X2.d2)]
   etad <- etas <- l.ln <- NULL 
 
   
 if(is.null(VC$X3))  teta.st <- etad <- params[(VC$X1.d2 + VC$X2.d2 + 1)]
 if(!is.null(VC$X3)) teta.st <- etad <- VC$X3%*%params[(VC$X1.d2+VC$X2.d2+1):(VC$X1.d2+VC$X2.d2+VC$X3.d2)]
 
   eta2 <- eta.tr(eta2, VC$margins[2])
     
   
  dHs <- distrHsDiscr(respvec$y2, eta2, 1, 1, nu = 1, nu.st = 1, margin2=VC$margins[2], naive = FALSE, y2m = VC$y2m, min.dn = VC$min.dn, min.pr = VC$min.pr, max.pr = VC$max.pr)
   
   
   pdf2                         <- dHs$pdf2
   p2                           <- dHs$p2 
   derpdf2.dereta2              <- dHs$derpdf2.dereta2 
   derp2.dereta2                <- dHs$derp2.dereta2
   der2p2.dereta2eta2           <- dHs$der2p2.dereta2eta2 
   der2pdf2.dereta2             <- dHs$der2pdf2.dereta2
    
    
    pd1 <- probm(eta1, VC$margins[1], bc = TRUE, min.dn = VC$min.dn, min.pr = VC$min.pr, max.pr = VC$max.pr) 
    p1  <- 1 - pd1$pr                           #   pnorm(-eta1), p(y1=0)
  
  
  ########################################################################################################  
    
  resT    <- teta.tr(VC, teta.st)

teta.st1 <- teta.st2 <- teta.st <- resT$teta.st
teta1 <- teta2 <- teta <- resT$teta 
    
##################

Cop1 <- Cop2 <- VC$BivD 
nC1 <- nC2 <- VC$nC 


teta.ind1 <- as.logical(c(1,0,round(runif(VC$n-2))) ) 
teta.ind2 <- teta.ind1 == FALSE  


if(!(VC$BivD %in% VC$BivD2) && length(teta.st) > 1){

teta.st1 <- teta.st[teta.ind1]
teta.st2 <- teta.st[teta.ind2]

teta1 <- teta[teta.ind1]
teta2 <- teta[teta.ind2]

}

 
 
if(VC$BivD %in% VC$BivD2){

if(VC$BivD %in% VC$BivD2[c(1:4,13:16)])  teta.ind1 <- ifelse(VC$my.env$signind*teta > exp(VC$zerov), TRUE, FALSE)
if(VC$BivD %in% VC$BivD2[5:12]) teta.ind1 <- ifelse(VC$my.env$signind*teta > exp(VC$zerov) + 1, TRUE, FALSE) 
teta.ind2 <- teta.ind1 == FALSE 

VC$my.env$signind <- ifelse(teta.ind1 == TRUE,  1, -1) 

teta1 <-  teta[teta.ind1]
teta2 <- -teta[teta.ind2]

teta.st1 <- teta.st[teta.ind1]
teta.st2 <- teta.st[teta.ind2]

if(length(teta) == 1) teta.ind2 <- teta.ind1 <- rep(TRUE, VC$n)  

Cop1Cop2R <- Cop1Cop2(VC$BivD)
Cop1 <- Cop1Cop2R$Cop1
Cop2 <- Cop1Cop2R$Cop2

nC1 <- VC$ct[which(VC$ct[,1] == Cop1),2] 
nC2 <- VC$ct[which(VC$ct[,1] == Cop2),2]

} 
      
  
  ########################################################################################################
  
  
  C1 <- C2 <- A <- B <- NA
  
  
if( length(teta1) != 0){  
  
  C1[teta.ind1] <- mm(BiCDF(p1[teta.ind1], p2[teta.ind1],          nC1, teta1, VC$dof), min.pr = VC$min.pr, max.pr = VC$max.pr  )
  C2[teta.ind1] <- mm(BiCDF(p1[teta.ind1], mm(p2[teta.ind1]-pdf2[teta.ind1], min.pr = VC$min.pr, max.pr = VC$max.pr), nC1, teta1, VC$dof), min.pr = VC$min.pr, max.pr = VC$max.pr  )
  
  A[teta.ind1] <- mm(C1[teta.ind1] - C2[teta.ind1], min.pr = VC$min.pr, max.pr = VC$max.pr)
  B[teta.ind1] <- mm( pdf2[teta.ind1] - A[teta.ind1], min.pr = VC$min.pr, max.pr = VC$max.pr)
  
}  


if( length(teta2) != 0){  
  
  C1[teta.ind2] <- mm(BiCDF(p1[teta.ind2], p2[teta.ind2],          nC2, teta2, VC$dof), min.pr = VC$min.pr, max.pr = VC$max.pr  )
  C2[teta.ind2] <- mm(BiCDF(p1[teta.ind2], mm(p2[teta.ind2]-pdf2[teta.ind2], min.pr = VC$min.pr, max.pr = VC$max.pr), nC2, teta2, VC$dof), min.pr = VC$min.pr, max.pr = VC$max.pr  )
  
  A[teta.ind2] <- mm(C1[teta.ind2] - C2[teta.ind2], min.pr = VC$min.pr, max.pr = VC$max.pr)
  B[teta.ind2] <- mm( pdf2[teta.ind2] - A[teta.ind2], min.pr = VC$min.pr, max.pr = VC$max.pr)
  
}

  
  
  l.par <- VC$weights*( respvec$cy*log( A ) + respvec$y1*log( B ) )
    
  ########################################################################################################
   
  c.copula.be1.C1 <- c.copula.be1.C2 <- c.copula.be2.C1 <- c.copula.be2.C2 <- c.copula.theta.C1 <- c.copula.theta.C2 <- NA
  
  
  
  
  if( length(teta1) != 0) dH1F <- copgHs(p1[teta.ind1], p2[teta.ind1], eta1=NULL, eta2=NULL, teta1, teta.st1, Cop1, VC$dof, min.dn = VC$min.dn, min.pr = VC$min.pr, max.pr = VC$max.pr)
  if( length(teta2) != 0) dH1S <- copgHs(p1[teta.ind2], p2[teta.ind2], eta1=NULL, eta2=NULL, teta2, teta.st2, Cop2, VC$dof, min.dn = VC$min.dn, min.pr = VC$min.pr, max.pr = VC$max.pr)
  
  if( length(teta1) != 0) dH2F <- copgHs(p1[teta.ind1], mm(p2[teta.ind1]-pdf2[teta.ind1], min.pr = VC$min.pr, max.pr = VC$max.pr), eta1=NULL, eta2=NULL, teta1, teta.st1, Cop1, VC$dof, min.dn = VC$min.dn, min.pr = VC$min.pr, max.pr = VC$max.pr) 
  if( length(teta2) != 0) dH2S <- copgHs(p1[teta.ind2], mm(p2[teta.ind2]-pdf2[teta.ind2], min.pr = VC$min.pr, max.pr = VC$max.pr), eta1=NULL, eta2=NULL, teta2, teta.st2, Cop2, VC$dof, min.dn = VC$min.dn, min.pr = VC$min.pr, max.pr = VC$max.pr) 
  
  
if( length(teta1) != 0){  
   
  c.copula.be1.C1[teta.ind1] <- dH1F$c.copula.be1 
  c.copula.be1.C2[teta.ind1] <- dH2F$c.copula.be1 
  
  c.copula.be2.C1[teta.ind1] <- dH1F$c.copula.be2 
  c.copula.be2.C2[teta.ind1] <- dH2F$c.copula.be2 
  
  c.copula.theta.C1[teta.ind1] <- dH1F$c.copula.theta # here there is theta star already
  c.copula.theta.C2[teta.ind1] <- dH2F$c.copula.theta
  
}  
  
  
  if( length(teta2) != 0){  
     
    c.copula.be1.C1[teta.ind2] <- dH1S$c.copula.be1 
    c.copula.be1.C2[teta.ind2] <- dH2S$c.copula.be1 
    
    c.copula.be2.C1[teta.ind2] <- dH1S$c.copula.be2 
    c.copula.be2.C2[teta.ind2] <- dH2S$c.copula.be2 
    
    c.copula.theta.C1[teta.ind2] <- dH1S$c.copula.theta # here there is theta star already
    c.copula.theta.C2[teta.ind2] <- dH2S$c.copula.theta
    
  }  
    
  
  
  
  derp2m1.dereta2 <- derp2.dereta2 - derpdf2.dereta2
  derp1.dereta1   <- pd1$derp1.dereta1    # -dnorm(-eta1) 
  
  
  Cc <- mm(c.copula.be1.C1 - c.copula.be1.C2, min.pr = VC$min.pr, max.pr = VC$max.pr) 
  C  <- Cc*derp1.dereta1
  
  Cs    <- c.copula.theta.C1  - c.copula.theta.C2
  Cssb2 <- c.copula.be2.C1*derp2.dereta2 - c.copula.be2.C2*derp2m1.dereta2  
  
    dl.dbe1      <- VC$weights*( ( respvec$cy/A - respvec$y1/B )*C  ) 
    dl.dbe2      <- VC$weights*( respvec$cy/A*Cssb2 + respvec$y1/B*(derpdf2.dereta2 - Cssb2)    )
    dl.dteta.st  <- VC$weights*( ( respvec$cy/A - respvec$y1/B )*Cs   )                     
   
   
  ######################################################################################################## 
   
 c.copula2.be1.C1 <- c.copula2.be1.C2 <- c.copula2.be2.C1 <- c.copula2.be2.C2 <- c.copula2.be1be2.C1 <- c.copula2.be1be2.C2 <- c.copula2.be2th.C1 <- c.copula2.be2th.C2 <- c.copula2.theta.C1 <- c.copula2.theta.C2 <- c.copula.thet.C1 <- c.copula.thet.C2 <- derteta.derteta.st <- der2teta.derteta.stteta.st <- c.copula2.be1th.C1 <- c.copula2.be1th.C2 <- NA
   
   
   
if( length(teta1) != 0){     
   
    
    c.copula2.be1.C1[teta.ind1]           <- dH1F$c.copula2.be1
    c.copula2.be1.C2[teta.ind1]           <- dH2F$c.copula2.be1
    
    c.copula2.be2.C1[teta.ind1]           <- dH1F$c.copula2.be2
    c.copula2.be2.C2[teta.ind1]           <- dH2F$c.copula2.be2
    
    c.copula2.be1be2.C1[teta.ind1]        <- dH1F$c.copula2.be1be2
    c.copula2.be1be2.C2[teta.ind1]        <- dH2F$c.copula2.be1be2
    
    c.copula2.be2th.C1[teta.ind1]         <- dH1F$c.copula2.be2th
    c.copula2.be2th.C2[teta.ind1]         <- dH2F$c.copula2.be2th  
    
    c.copula2.theta.C1[teta.ind1]         <- dH1F$bit1.th2ATE 
    c.copula2.theta.C2[teta.ind1]         <- dH2F$bit1.th2ATE 
    
    c.copula.thet.C1[teta.ind1]           <- dH1F$c.copula.thet # NO star
    c.copula.thet.C2[teta.ind1]           <- dH2F$c.copula.thet    
   
    derteta.derteta.st[teta.ind1]         <- dH1F$derteta.derteta.st         # does not matter dH1 or dH2 
    der2teta.derteta.stteta.st[teta.ind1] <- dH1F$der2teta.derteta.stteta.st   
   
    c.copula2.be1th.C1[teta.ind1]         <- dH1F$c.copula2.be1th 
    c.copula2.be1th.C2[teta.ind1]         <- dH2F$c.copula2.be1th    
   
}   



if( length(teta2) != 0){     
   
    c.copula2.be1.C1[teta.ind2]           <- dH1S$c.copula2.be1
    c.copula2.be1.C2[teta.ind2]           <- dH2S$c.copula2.be1
    
    c.copula2.be2.C1[teta.ind2]           <- dH1S$c.copula2.be2
    c.copula2.be2.C2[teta.ind2]           <- dH2S$c.copula2.be2
    
    c.copula2.be1be2.C1[teta.ind2]        <- dH1S$c.copula2.be1be2
    c.copula2.be1be2.C2[teta.ind2]        <- dH2S$c.copula2.be1be2
    
    c.copula2.be2th.C1[teta.ind2]         <- dH1S$c.copula2.be2th
    c.copula2.be2th.C2[teta.ind2]         <- dH2S$c.copula2.be2th  
    
    c.copula2.theta.C1[teta.ind2]         <- dH1S$bit1.th2ATE 
    c.copula2.theta.C2[teta.ind2]         <- dH2S$bit1.th2ATE 
    
    c.copula.thet.C1[teta.ind2]           <- dH1S$c.copula.thet # NO star
    c.copula.thet.C2[teta.ind2]           <- dH2S$c.copula.thet    
   
    derteta.derteta.st[teta.ind2]         <- dH1S$derteta.derteta.st         # does not matter dH1 or dH2 
    der2teta.derteta.stteta.st[teta.ind2] <- dH1S$der2teta.derteta.stteta.st   
   
    c.copula2.be1th.C1[teta.ind2]         <- dH1S$c.copula2.be1th 
    c.copula2.be1th.C2[teta.ind2]         <- dH2S$c.copula2.be1th    
   
}   



   
   
    der2p1.dereta1eta1 <- pd1$der2p1.dereta1eta1
    
    derC.dereta1 <- (c.copula2.be1.C1 - c.copula2.be1.C2)*derp1.dereta1^2 + Cc*der2p1.dereta1eta1
    
    derCs.dertheta.st <- (c.copula2.theta.C1 - c.copula2.theta.C2)*derteta.derteta.st^2 + (c.copula.thet.C1 - c.copula.thet.C2)*der2teta.derteta.stteta.st
    
    derA.dereta2 <- c.copula.be2.C1*derp2.dereta2   - c.copula.be2.C2*derp2m1.dereta2 
    derB.dereta2 <- derpdf2.dereta2 - derA.dereta2  
    der2p2m1.dereta2eta2 <- der2p2.dereta2eta2 - der2pdf2.dereta2
    derCssb2.dereta2 <- c.copula2.be2.C1*derp2.dereta2^2 + c.copula.be2.C1*der2p2.dereta2eta2 - (c.copula2.be2.C2*derp2m1.dereta2^2 + c.copula.be2.C2*der2p2m1.dereta2eta2)                                                                     
          
    derC.dereta2 <- (c.copula2.be1be2.C1*derp2.dereta2 - c.copula2.be1be2.C2*derp2m1.dereta2)*derp1.dereta1    
   
 
    
    derC.dertheta.st <- (c.copula2.be1th.C1 - c.copula2.be1th.C2)*derp1.dereta1 
    
    derCs.dereta2      <- c.copula2.be2th.C1*derp2.dereta2 - c.copula2.be2th.C2*derp2m1.dereta2
    
  
    d2l.be1.be1      <- -VC$weights*( (-respvec$cy/A^2 - respvec$y1/B^2)*C^2 + ( respvec$cy/A - respvec$y1/B )*derC.dereta1 )
    d2l.rho.rho      <- -VC$weights*( (-respvec$cy/A^2 - respvec$y1/B^2)*Cs^2 + ( respvec$cy/A - respvec$y1/B )*derCs.dertheta.st )
    d2l.be2.be2      <- -VC$weights*( -respvec$cy*derA.dereta2*Cssb2/A^2 + respvec$cy*derCssb2.dereta2/A - respvec$y1*derB.dereta2/B^2*(derpdf2.dereta2-Cssb2) + respvec$y1/B*( der2pdf2.dereta2 - derCssb2.dereta2)  )
    d2l.be1.be2      <- -VC$weights*( (-respvec$cy*derA.dereta2/A^2 + respvec$y1*derB.dereta2/B^2)*C + (respvec$cy/A - respvec$y1/B)*derC.dereta2 )
    d2l.be1.rho      <- -VC$weights*( (-respvec$cy/A^2 - respvec$y1/B^2)*C*Cs + ( respvec$cy/A - respvec$y1/B )*derC.dertheta.st )
    d2l.be2.rho      <- -VC$weights*( (-respvec$cy*derA.dereta2/A^2 + respvec$y1*derB.dereta2/B^2)*Cs + ( respvec$cy/A - respvec$y1/B )*derCs.dereta2 )
    
  
  
  
  
  
  
  


if( is.null(VC$X3) ){

  be1.be1 <- crossprod(VC$X1*c(d2l.be1.be1),VC$X1)
  be2.be2 <- crossprod(VC$X2*c(d2l.be2.be2),VC$X2)
  be1.be2 <- crossprod(VC$X1*c(d2l.be1.be2),VC$X2)
  be1.rho <- t(t(rowSums(t(VC$X1*c(d2l.be1.rho)))))
  be2.rho <- t(t(rowSums(t(VC$X2*c(d2l.be2.rho)))))
  
  H <- rbind( cbind( be1.be1    , be1.be2    , be1.rho ), 
              cbind( t(be1.be2) , be2.be2    , be2.rho ), 
              cbind( t(be1.rho) , t(be2.rho) , sum(d2l.rho.rho) ) 
            ) 
            
           
         
  G   <- -c( colSums( c(dl.dbe1)*VC$X1 ) ,
             colSums( c(dl.dbe2)*VC$X2 ) ,
             sum( dl.dteta.st ) )
    
}

if( !is.null(VC$X3) ){





  be1.be1 <- crossprod(VC$X1*c(d2l.be1.be1),VC$X1)
  be2.be2 <- crossprod(VC$X2*c(d2l.be2.be2),VC$X2)
  be1.be2 <- crossprod(VC$X1*c(d2l.be1.be2),VC$X2)
  be1.rho <- crossprod(VC$X1*c(d2l.be1.rho),VC$X3)
  be2.rho <- crossprod(VC$X2*c(d2l.be2.rho),VC$X3)
  rho.rho <- crossprod(VC$X3*c(d2l.rho.rho),VC$X3)
  
  H <- rbind( cbind( be1.be1    , be1.be2    , be1.rho ), 
              cbind( t(be1.be2) , be2.be2    , be2.rho ), 
              cbind( t(be1.rho) , t(be2.rho) , rho.rho ) 
            ) 
            
           
  G   <- -c( colSums(      c(dl.dbe1)*VC$X1 ) ,
             colSums(      c(dl.dbe2)*VC$X2 ) ,
             colSums(  c(dl.dteta.st)*VC$X3 ) ) 
    
}

         res <- -sum(l.par)

if(VC$extra.regI == "pC" && VC$hess==FALSE) H <- regH(H, type = 1)
  
  S.h  <- ps$S.h
  
  if( length(S.h) != 1){
  
  S.h1 <- 0.5*crossprod(params,S.h)%*%params
  S.h2 <- S.h%*%params
  
  } else S.h <- S.h1 <- S.h2 <- 0   
  
  S.res <- res
  res   <- S.res + S.h1
  G     <- G + S.h2
  H     <- H + S.h 
        
if(VC$extra.regI == "sED") H <- regH(H, type = 2) 
  
  



         list(value=res, gradient=G, hessian=H, S.h=S.h, S.h1=S.h1, S.h2=S.h2, l=S.res, l.par=l.par, ps = ps, etas = etas,
              eta1=eta1, eta2=eta2, etad=etad,
              dl.dbe1=dl.dbe1, dl.dbe2=dl.dbe2, dl.dteta.st = dl.dteta.st,
              BivD=VC$BivD,                             p1 = 1-p1, p2 = p2, pdf1 = pdf1, pdf2 = pdf2,          
	      	                    c.copula.be2 = c.copula.be2,
	      	                    c.copula.be1 = c.copula.be1,
              c.copula2.be1be2 = c.copula2.be1be2, theta.star = teta.st,
              teta.ind2 = teta.ind2, teta.ind1 = teta.ind1,
              Cop1 = Cop1, Cop2 = Cop2, teta1 = teta1, teta2 = teta2)      

}




     
KironmoyDas/KD-STAT0035-GMupdate documentation built on Feb. 15, 2021, 12:17 a.m.