An optional data.frame to interpret the variables from the
formula argument in.
family
A family object;
pstart
Starting values for the coefficients and other
parameters, e.g. the standard deviation for the gaussian() family.
fixed
Logical vector indicating which paramters are to be fixed.
prob
Logical indicating whether the starting values for
multinomial() family models are probabilities or logistic
parameters (see details).
object
Object of class response.
...
Not used currently.
Details
GLMresponse is the default driver for specifying response
distributions of depmix models. It uses the familiar formula
interface from glm to specify how responses depend on
covariates/predictors.
Currently available options for the family argument are
binomial, gaussian, poisson, Gamma, and
multinomial. Except for the latter option, the
GLMresponse model is an interface to the glm functions of
which the functionality is used: predict, fit and density functions.
The multinomial model takes as link functions mlogit, the
default, and then uses functionality from the nnet package to
fit multinomial logistic models; using mlogit as link allows
only n=1 models to be specified, i.e. a single observation for each
occasion; it also takes identity as a link function. The latter
is typically faster and is hence preferred when no covariates are
present.
See the responses help page for examples.
Value
GLMresponse returns an object of class GLMresponse which
extends the response-class.
getdf returns the number of free parameters of a
response model.
Author(s)
Ingmar Visser & Maarten Speekenbrink
See Also
makeDepmix has an example of specifying a model with a
multivariate normal response and an example of how to add a user-defined
response model, in particular an ex-gauss distribution used for the
speed data.