circmax_simulate: Simulated Data Set for 'circmax'
In circtree: Regression Trees and Forests for Circular Responses
Description
Usage
Arguments
Value
Description
This function creates artifical data set for testing the regression models for a circular
response by maximum likelihood estimation.
Usage
1
circmax_simulate(n = 1000, beta = c(3, 5, 2), gamma = c(3, 3), seed = 111)
Arguments
n
The number of Observations.
beta
The coefficients for the intercept and the covariates of the location part.
gamma
The coefficients for the intercept and the covariates of the concentration part.
seed
Sets the 'seed' to a numeric value.
Value
Data frame with simualated covariates and respective response.
circtree documentation built on Aug. 14, 2019, 3 p.m.
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Description Usage Arguments Value
Description
This function creates artifical data set for testing the regression models for a circular response by maximum likelihood estimation.
Usage
1 | circmax_simulate(n = 1000, beta = c(3, 5, 2), gamma = c(3, 3), seed = 111)
|
Arguments
n |
The number of Observations. |
beta |
The coefficients for the intercept and the covariates of the location part. |
gamma |
The coefficients for the intercept and the covariates of the concentration part. |
seed |
Sets the 'seed' to a numeric value. |
Value
Data frame with simualated covariates and respective response.
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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