Matrix; explanatory variables. A vector of ones should be
added to the data matrix as the first column for the
\(\beta\) of the intercept.
offset
Either NULL or a numeric vector of length equal
to the number of cases. Used to specify an a priori known
component to be included in the linear predictor during fitting.
type
Character; the distribution of the counts.
alpha
Numeric; an optional initial value for the
theta parameter in the negative binomial distribution; the
default value is 1.
Value
beta
A named numeric vector of initial coefficients.
y
If requested, the \(y\) vector used.
X
If requested, the model matrix.
alpha
The theta parameter in the negative binomial
distribution returned by glm.nb. NULL if any
other distribution is used.
type
The distribution of the counts in the GLARMA model.
null.deviance
Null deviance of the GLM with the same regression
structure as the GLARMA model.
df.null
Null degrees of freedom of the GLM with the same
regression structure as the GLARMA model.
Details
Generates and returns the initial parameters for the GLARMA model
under the specified distribution by fitting a generalized linear
model.
# NOT RUN {### Using the polio datadata(Polio)
y <- Polio[, 2]
X <- as.matrix(Polio[, 3:8])
glmMod <- initial(y, X, type = "Poi", alpha=1)
str(glmMod)
head(glmMod)
# }