R/gfunction.alp.lm.R

In gim: Generalized Integration Model

gfunction.alp.lm <- function(para, map, ref){
  
  nmodel <- length(map$bet)
  
  the <- para[map$the[-1]]
  fx <- as.matrix(ref[, names(the), drop = FALSE])
  
  g.alp <- list()
  
  n <- nrow(ref)
  nlam <- max(map$lam)
  offset <- max(map$the)
  
  k <- 0
  for(i in 1:nmodel){
    id.a <- alp.index.lm(map, i)
    alp.exist <- !is.null(id.a)
    if(alp.exist){
      alp <- para[id.a]
    }else{
      alp <- NULL
    }
    
    if(!alp.exist){
      next
    }
    
    id.b <- map$bet[[i]]
    bet <- para[id.b]
    gam <- c(alp, bet)
    
    rx <- as.matrix(ref[, names(gam), drop = FALSE])
    
    delta <- as.vector(fx %*% the - rx %*% gam)
    
    for(j in id.a){
      rx0 <- rx[, names(para)[j]]
      ga <- matrix(0, nrow = n, ncol = nlam)
      ga[, id.a - offset] <- -rx[, names(alp), drop = FALSE] * rx0
      ga[, id.b - offset] <- -rx[, names(bet), drop = FALSE] * rx0
      k <- k + 1
      g.alp[[k]] <- ga
      rm(ga)
    }
    
  }
  
  if(length(g.alp) == 0){
    g.alp <- NULL
  }
  
  g.alp
  
}