an object of class “formula” (or one that can be coerced to that class).
data
the data frame containing these data. This argument must be used.
robust
if TRUE the function reports White/robust standard errors.
clustervar1
a character value naming the first cluster on which to adjust the standard errors.
clustervar2
a character value naming the second cluster on which to
adjust the standard errors for two-way clustering.
start
starting values for the parameters in the glm.nb model.
control
see glm.control.
Details
If both robust=TRUE and !is.null(clustervar1) the function overrides the robust
command and computes clustered standard errors.
Value
irr
a coefficient matrix with columns containing the estimates,
associated standard errors, test statistics and p-values.
fit
the fitted glm.nb object.
call
the matched call.
See Also
negbinmfx, glm.nb
Examples
# simulate some data
set.seed(12345)
n = 1000
x = rnorm(n)
y = rnegbin(n, mu = exp(1 + 0.5 * x), theta = 0.5)
data = data.frame(y,x)
negbinirr(formula=y~x,data=data)
providing 
.