| Usage: |
ll = glmll(code,mu,y{,opt})
|
| Input: |
| code | text string, the short code for the model (e.g.
"bilo" for logit or "noid" for ordinary OLS).
|
| mu | n x 1, n x 2 or n x 3 matrix, either the response
function, or sums of response function in the first
column.
In second and third column expressions needed for
computation of deviance (typically sums of
mu^2 or log(mu)).
|
| y | n x 1, n x 2 or n x 3 matrix, either the response
values, or sums of response values in the first
column.
In second and third column expressions needed for
computation of deviance (typically sums of
y^2 or log(y)).
|
| opt | optional, a list with optional input.
"glmopt" can be used to set up this parameter.
|
| opt.phi | nuisance parameter, usually the dispersion
parameter. If not given, only those parts of the
log-likelihood are computed, which depend on the
parameter of interest.
|
| opt.nbk | scalar, extra parameter k for negative binomial
distribution. If not given, set to 1 (geometric
distribution).
|
| Output: |
| ll | n x 1 matrix, log-likelihood. |