mapfit (version 0.9.7)

herlang-class: Class of hyper Erlang

Description

Parameters for a hyper Erlang.

Objects from the Class

Objects are usually created by a herlang.

Slots

size:

the number of components (hyper Erlang components).

mixrate:

a vector of mixed rates (probability for selecting a component).

shape:

shape parameters for Erlang distributions.

rate:

rate parameters for Erlang distributions.

Methods

ph.moment

signature(ph = "herlang"): ...

% \item{emfit.init}{\code{signature(model = "herlang", data = "phdata.wtime")}: ... } % \item{emfit.init}{\code{signature(model = "herlang", data = "phdata.group")}: ... } % \item{emfit.estep}{\code{signature(model = "herlang", data = "phdata.wtime")}: ... } % \item{emfit.estep}{\code{signature(model = "herlang", data = "phdata.group")}: ... } % \item{emfit.mstep}{\code{signature(model = "herlang")}: ... }

See Also

Classes '>ph and '>cf1.

Examples

# NOT RUN {
## create a hyper Erlang consisting of two Erlang
## with shape parameters 2 and 3.
(param1 <- herlang(c(2,3)))

## create a hyper Erlang consisting of two Erlang
## with shape parameters 2 and 3.
(param1 <- herlang(shape=c(2,3)))

## create a hyper Erlang with specific parameters
(param2 <- herlang(shape=c(2,3), mixrate=c(0.3,0.7),
                   rate=c(1.0,10.0)))

## convert to a general PH
as(param2, "ph")

## p.d.f. for 0, 0.1, ..., 1
(dherlang(x=seq(0, 1, 0.1), herlang=param2))

## c.d.f. for 0, 0.1, ..., 1
(pherlang(q=seq(0, 1, 0.1), herlang=param2))

## generate 10 samples
(rherlang(n=10, herlang=param2))

# }