# Script generated by the UniPV WinBUGS converter
# 'WinBUGSConverter' copyright (c) BMS - University of Pavia (2016)
# Converter Version: 1.0.0
# Source: PharmML 0.8.1
# Target: WINBUGS 1.4.3
# Run ID: run_id_0
# Model: Generated from MDL. MOG ID: warfarin_PK_ODE_mog
# File: UseCase6
# Dated: Sun Jul 31 17:53:09 CEST 2016

model {
  for (ind_subj in 1:N_subj) {
    for (ind_t in 1:N_t[ind_subj]) {
      logtWTinterp[ind_subj,ind_t] <- interp.function(grid[ind_subj,ind_t], grid_logtWT[ind_subj,1:N_t_logtWT[ind_subj]], logtWT[ind_subj,1:N_t_logtWT[ind_subj]])
      Y_mean[ind_subj,ind_t] <- (CC[ind_subj,ind_t] + 0)
      Y_prec[ind_subj,ind_t] <- 1 / ((pow(((RUV_ADD + (RUV_PROP * CC[ind_subj,ind_t]))),2))*1)
      Y[ind_subj,ind_t] ~ dnorm(Y_mean[ind_subj,ind_t], Y_prec[ind_subj,ind_t])
      Y_res[ind_subj,ind_t] <- Y[ind_subj,ind_t]-Y_mean[ind_subj,ind_t]
      log(CL[ind_subj,ind_t]) <- log(POP_CL) + BETA_CL_WT * logtWTinterp[ind_subj,ind_t] + ETA_CL[ind_subj]
      log(V[ind_subj,ind_t]) <- log(POP_V) + BETA_V_WT * logtWTinterp[ind_subj,ind_t] + ETA_V[ind_subj]
    }
    ETA_TLAG[ind_subj] ~ dnorm(0, ETA_TLAG_prec)
    log(KA[ind_subj]) <- log(POP_KA) + ETA_KA[ind_subj]
    log(TLAG[ind_subj])<- log(POP_TLAG) + ETA_TLAG[ind_subj]
    ETA1[ind_subj,1:3] ~ dmnorm(mu1[], T1[,])
    ETA_CL[ind_subj] <- ETA1[ind_subj,1]
    ETA_V[ind_subj] <- ETA1[ind_subj,2]
    ETA_KA[ind_subj] <- ETA1[ind_subj,3]
    der99wb_unipv[ind_subj,1:N_t[ind_subj], 1:2]<- function.model1(grid[ind_subj,1:N_t[ind_subj]], amt[ind_subj,1:N_t[ind_subj]],  rate[ind_subj,1:N_t[ind_subj]], ii[ind_subj,1:N_t[ind_subj]], evid[ind_subj,1:N_t[ind_subj]], cmt[ind_subj,1:N_t[ind_subj]], addl[ind_subj,1:N_t[ind_subj]], ss[ind_subj,1:N_t[ind_subj]], theta[ind_subj,])
    theta[ind_subj,1] <- n_cov_cont
    theta[ind_subj,2] <- max_m_logtWT
    theta[ind_subj,3] <- N_t_logtWT[ind_subj]
    theta[ind_subj,3+2*max_m_logtWT +1] <- ETA_KA[ind_subj]
    theta[ind_subj,3+2*max_m_logtWT +2] <- POP_KA
    theta[ind_subj,3+2*max_m_logtWT +3] <- ETA_CL[ind_subj]
    theta[ind_subj,3+2*max_m_logtWT +4] <- POP_CL
    theta[ind_subj,3+2*max_m_logtWT +5] <- BETA_CL_WT
    theta[ind_subj,3+2*max_m_logtWT +6] <- ETA_V[ind_subj]
    theta[ind_subj,3+2*max_m_logtWT +7] <- POP_V
    theta[ind_subj,3+2*max_m_logtWT +8] <- BETA_V_WT
    for (i in 1 : max_m_logtWT){ 
	theta[ind_subj,i+3] <- grid_logtWT[ind_subj,i]
	}
	for (i in 1 : max_m_logtWT){ 
	theta[ind_subj,i+3+max_m_logtWT] <- logtWT[ind_subj,i]
	}
      theta[ind_subj,3+2*max_m_logtWT+9] <- 0.0 #IC Ad1
      theta[ind_subj,3+2*max_m_logtWT+10] <- 0.0 #IC CENTRAL
      theta[ind_subj,3+2*max_m_logtWT+11] <- 1 #F Ad1
      theta[ind_subj,3+2*max_m_logtWT+12] <- 1 #F CENTRAL
      theta[ind_subj,3+2*max_m_logtWT+13] <- TLAG[ind_subj] #TLAG Ad1
      theta[ind_subj,3+2*max_m_logtWT+14] <- 0 #TLAG CENTRAL
      for (ind_q in 1:N_t[ind_subj]) {
        Ad1[ind_subj,ind_q] <- der99wb_unipv[ind_subj,ind_q,1] + 0.0
        CENTRAL[ind_subj,ind_q] <- der99wb_unipv[ind_subj,ind_q,2] + 0.0
        CC[ind_subj,ind_q] <- (CENTRAL[ind_subj,ind_q] / V[ind_subj,ind_q])
      }
    }
    ETA_TLAG_prec <- (1/(PPV_TLAG))
    T1[1:3,1:3] <- inverse(OMEGA1[,])
    mu1[1] <- 0.0
    mu1[2] <- 0.0
    mu1[3] <- 0.0
    OMEGA1[1,1] <- PPV_CL
    OMEGA1[1,2] <- COV_CL_V
    OMEGA1[1,3] <- COV_CL_KA
    OMEGA1[2,1] <- COV_CL_V
    OMEGA1[2,2] <- PPV_V
    OMEGA1[2,3] <- COV_V_KA
    OMEGA1[3,1] <- COV_CL_KA
    OMEGA1[3,2] <- COV_V_KA
    OMEGA1[3,3] <- PPV_KA
    MU_CL <- (log(0.1))
    MU_V <- (log(8))
    MU_KA <- (log(0.362))
    MU_TLAG <- (log(1))
    MU_PPV_CL <- (log(0.1))
    MU_PPV_V <- (log(0.1))
    MU_PPV_KA <- (log(0.1))
    MU_COV_CL_V <- (log(0.01))
    MU_COV_CL_KA <- (log(0.01))
    MU_COV_V_KA <- (log(0.01))
    MU_RUV_PROP <- (log(0.1))
    MU_RUV_ADD <- (log(0.1))
    VAR_CL <- pow((log(pow(0.1,2))),2)
    VAR_V <- pow((log(pow(8,2))),2)
    VAR_KA <- pow((log(pow(0.362,2))),2)
    VAR_TLAG <- pow((log(pow(1,2))),2)
    VAR_PPV_CL <- pow((log(pow(0.1,2))),2)
    VAR_PPV_V <- pow((log(pow(0.1,2))),2)
    VAR_PPV_KA <- pow((log(pow(0.1,2))),2)
    VAR_COV_CL_V <- pow((log(pow(0.01,2))),2)
    VAR_COV_CL_KA <- pow((log(pow(0.01,2))),2)
    VAR_COV_V_KA <- pow((log(pow(0.01,2))),2)
    VAR_RUV_PROP <- pow((log(pow(0.1,2))),2)
    VAR_RUV_ADD <- pow((log(pow(0.1,2))),2)
    BETA_CL_WT <- 0.75
    BETA_V_WT <- 1
    PPV_TLAG <- 0.1
    POP_CL <- 0.1
    POP_KA <- 0.36
    POP_TLAG <- 1
    PPV_CL <- 0.1
    PPV_V <- 0.14
    PPV_KA <- 0.94
    COV_CL_V <- 0
    COV_CL_KA <- 0
    COV_V_KA <- 0
    RUV_PROP <- 0.11
    RUV_ADD <- 0.001
    # PRIORS
    POP_V ~ dlnorm(POP_V_meanLog,POP_V_prec)
    POP_V_meanLog <- MU_V
    POP_V_prec <- 1/VAR_V
}
