oizipf | R Documentation |
Fits a 1-inflated Zipf distribution.
oizipf(N = NULL, lpstr1 = "logitlink", lshape = "loglink",
type.fitted = c("mean", "shape", "pobs1", "pstr1", "onempstr1"),
ishape = NULL, gpstr1 = ppoints(8), gshape = exp((-3:3) / 4),
zero = NULL)
N |
Same as |
lpstr1 , lshape |
For |
gpstr1 , gshape , ishape |
For initial values.
See |
type.fitted , zero |
See |
The 1-inflated Zipf distribution is a mixture
distribution of the
Zipf
distribution with some probability of obtaining a (structural) 1.
Thus there are two sources for obtaining the value 1.
This distribution is written here
in a way that retains a similar notation to the
zero-inflated Poisson, i.e., the
probability P[Y=1]
involves another parameter
\phi
. See zipoisson
.
This family function can handle multiple responses.
An object of class "vglmff"
(see vglmff-class
).
The object is used by modelling functions
such as vglm
,
rrvglm
and vgam
.
Under- or over-flow may occur if the data is ill-conditioned. Lots of data is needed to estimate the parameters accurately. Usually, probably the shape parameter is best modelled as intercept-only.
Thomas W. Yee
Oizipf
.
zipf
,
Oizeta
.
## Not run: odata <- data.frame(x2 = runif(nn <- 1000)) # Artificial data
odata <- transform(odata, pstr1 = logitlink(-1 + x2, inv = TRUE),
myN = 10,
shape = exp(-0.5))
odata <- transform(odata, y1 = roizipf(nn, N = myN, shape, pstr1 = pstr1))
with(odata, table(y1))
fit1 <- vglm(y1 ~ x2, oizipf(zero = "shape"), odata, trace = TRUE)
coef(fit1, matrix = TRUE)
## End(Not run)
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