reg_simulation1 {MSIMST} | R Documentation |
The Function for the Simulation Study without the Variable Selection
Description
This is a simply simulation study that is designed to demonstrate the correctness of the proposed Gibbs sampler, Gibbs_Sampler()
.
Usage
reg_simulation1(N, ni_lambda, beta, beta_b, dsq, sigmasq, delta, nu)
Arguments
N |
The number of subjects. |
ni_lambda |
The mean of Poisson distribution. |
beta |
A 3 by 1 vector. |
beta_b |
The slope of PD response. |
dsq |
A part of covariance parameter. |
sigmasq |
A part of covariance parameter. |
delta |
The skewness parameter. |
nu |
The degree of freedom. |
Details
More details of the design of this simulation study can be found in the vignette. Users can access the vignette by the command vignette(package = "MSIMST")
.
Value
A simulated dataset with the response variable y
and the design matrix X
.
Examples
set.seed(100)
simulated_data <- reg_simulation1(N = 50,
ni_lambda = 8,
beta = c(0.5,0.5,0.5),
beta_b = 1.5,
dsq = 0.1,
sigmasq = 0.5,
delta = 0.6,
nu = 5.89)
y <- simulated_data$y
X <- simulated_data$X
print(head(y))
print(head(X))
[Package MSIMST version 1.1 Index]