Nothing
new_aldvmm <- function(fit,
cov,
y,
mm,
ncmp,
df.null,
df.residual,
gof,
pred,
pred.se = NULL,
init,
call,
formula,
terms,
data,
psi,
dist,
lcoef,
lcpar,
lcmp,
optim.method,
init.method,
level,
na.action) {
# Make output list
#-----------------
outlist <- list(coef = fit[["par"]],
hessian = cov[["hessian"]],
cov = cov[["cv"]],
n = length(y),
k = ncmp,
df.null = df.null,
df.residual = df.residual,
iter = fit[["counts"]][1],
convergence = fit[["convergence"]],
gof = list(ll = gof[["ll"]],
aic = gof[["aic"]],
bic = gof[["bic"]],
mse = gof[["mse"]],
mae = gof[["mae"]]),
pred = list(y = pred[["y"]],
yhat = pred[["yhat"]],
res = pred[["res"]],
se.fit = pred.se[["se.fit"]],
lower.fit = pred.se[["lower.fit"]],
upper.fit = pred.se[["upper.fit"]],
prob = pred[["prob"]]),
init = init,
call = call,
formula = formula,
terms = terms,
contrasts = lapply(mm, function (x) attr(x, "contrasts")),
data = data,
psi = psi,
dist = dist,
label = list("lcoef" = lcoef,
"lcpar" = lcpar,
"lcmp" = lcmp,
"lvar" = lapply(mm, function(x) colnames(x))),
optim.method = optim.method,
init.method = init.method,
level = level,
na.action = na.action)
structure(outlist, class = "aldvmm")
}
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