
a
and scale parameter scale
.dfisk(x, shape1.a, scale = 1, log = FALSE)
pfisk(q, shape1.a, scale = 1)
qfisk(p, shape1.a, scale = 1)
rfisk(n, shape1.a, scale = 1)
length(n) > 1
then the length is taken to be the number required.log = TRUE
then the logarithm of the density is returned.dfisk
gives the density,
pfisk
gives the distribution function,
qfisk
gives the quantile function, and
rfisk
generates random deviates.fisk
, which is the fisk
,
genbetaII
.fdata = data.frame(y = rfisk(n = 1000, 4, 6))
fit = vglm(y ~ 1, fisk, data = fdata, trace = TRUE, crit = "coef")
coef(fit, matrix = TRUE)
Coef(fit)
Run the code above in your browser using DataLab