pKRTS {TempStable} | R Documentation |
Cumulative probability distribution function of the Kim-Rachev tempered stable (KRTS) distribution
Description
The cumulative probability distribution function (CDF) of the Kim-Rachev tempered stable distribution.
Usage
pKRTS(
q,
alpha = NULL,
kp = NULL,
km = NULL,
rp = NULL,
rm = NULL,
pp = NULL,
pm = NULL,
mu = NULL,
theta = NULL,
dens_method = "FFT",
a = -40,
b = 40,
nf = 2048,
...
)
Arguments
q |
A vector of real numbers where the CF is evaluated. |
alpha |
Stability parameter. A real number between 0 and 2. |
kp , km , rp , rm |
Parameter of KR-distribution. A real number |
pp , pm |
Parameter of KR-distribution. A real number |
mu |
A location parameter, any real number. |
theta |
Parameters stacked as a vector. |
dens_method |
Algorithm for numerical evaluation. Currently, only |
a |
Starting point of FFT, if |
b |
Ending point of FFT, if |
nf |
Pieces the transformation is divided in. Limited to power-of-two size. |
... |
Possibility to modify |
Details
theta
denotes the parameter vector (alpha, kp, km,
rp, rm, pp. pm, mu))
. Either provide the parameters individually OR
provide theta
.
The function integrates the PDF numerically with integrate()
.
Value
As q
is a numeric vector, the return value is also a numeric
vector of probabilities.
See Also
See also the dKRTS()
density-function.