Nothing
# alp for each model: coefficients for covariates x (if any, including intercept),
# from v0.22.0, no tau in alp anymore, we do not estimate it
# by adding a constant column in 'ref', we do not distinguish intercept and other coefficients
# for each model, define
# g =
# (x * the - phi(x) * alp) * phi(x)
gfunction.lm <- function(para, map, ref){
nmodel <- length(map$bet)
sigma <- para[map$the[1]]
the <- para[map$the[-1]]
fx <- as.matrix(ref[, names(the), drop = FALSE])
n <- nrow(ref)
nlam <- max(map$lam)
g <- matrix(0, nrow = n, ncol = nlam)
offset <- max(map$the)
for(i in 1:nmodel){
id.a <- alp.index.lm(map, i)
alp.exist <- !is.null(id.a)
if(alp.exist){
alp <- para[id.a]
}else{
alp <- NULL
}
id.b <- map$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)
id <- c(id.a, id.b)
g[, id - offset] <- rx[, names(para)[id], drop = FALSE] * delta
}
g
}
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