mlogl {aster}  R Documentation 
Minus the Log Likelihood for an Aster model, and its first and second
derivative. This function is called inside R function aster
.
Users generally do not need to call it directly.
mlogl(parm, pred, fam, x, root, modmat, deriv = 0, type = c("unconditional", "conditional"), famlist = fam.default(), origin, origin.type = c("model.type", "unconditional", "conditional"))
parm 
parameter value (vector of regression coefficients)
where we evaluate the log likelihood, etc.
We also refer to 
pred 
integer vector determining the graph.

fam 
an integer vector of length 
x 
the response. If a matrix, rows are individuals, and columns are
variables (nodes of graphical model). So 
root 
A matrix or vector like 
modmat 
a threedimensional array, 
deriv 
derivatives wanted: 0, 1, or 2. 
type 
type of model. The value of this argument can be abbreviated. 
famlist 
a list of family specifications (see 
origin 
Distinguished point in parameter space. May be missing,
in which case an unspecified default is provided. See 
origin.type 
Parameter space in which specified distinguished point
is located. If 
a list containing some of the following components:
value 
minus the log likelihood. 
gradient 
minus the first derivative vector of the log likelihood (minus the score). 
hessian 
minus the second derivative matrix of the log likelihood (observed Fisher information). 