nntsDistributioninterval0to1: NNTS distribution function for the incidence data defined in...
In CircNNTSR: Statistical Analysis of Circular Data using Nonnegative Trigonometric Sums (NNTS) Models
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Computes the distribution function at theta for the incidence data (number of observed values in certain intervals
defined in the interval [0,1))
Usage
1
nntsDistributioninterval0to1(theta, cpars = 1/sqrt(2 * pi), M = 0)
Arguments
theta
Value at which the distribution function is computed
cpars
Vector of complex numbers of dimension M+1. The first element is a real and positive number.
The sum of the squared moduli of the c parameters must be equal to 1/(2*pi).
M
Number of components in the NNTS
Value
The function returns the Value of the distribution function at theta
Author(s)
Juan Jose Fernandez-Duran and Maria Mercedes Gregorio-Dominguez
Examples
1
2
cpars<-nntsrandominitial(2)
nntsDistributioninterval0to1(pi, cpars, 2)
CircNNTSR documentation built on Feb. 18, 2020, 9:15 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Computes the distribution function at theta for the incidence data (number of observed values in certain intervals defined in the interval [0,1))
Usage
1 | nntsDistributioninterval0to1(theta, cpars = 1/sqrt(2 * pi), M = 0)
|
Arguments
theta |
Value at which the distribution function is computed |
cpars |
Vector of complex numbers of dimension M+1. The first element is a real and positive number. The sum of the squared moduli of the c parameters must be equal to 1/(2*pi). |
M |
Number of components in the NNTS |
Value
The function returns the Value of the distribution function at theta
Author(s)
Juan Jose Fernandez-Duran and Maria Mercedes Gregorio-Dominguez
Examples
1 2 | cpars<-nntsrandominitial(2)
nntsDistributioninterval0to1(pi, cpars, 2)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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