coverage {pqrBayes} | R Documentation |
95% empirical coverage probability for a pqrBayes object
Description
Calculate 95% empirical coverage probabilities for regression coefficients under linear, binary LASSO, group LASSO and VC models, respectively.
Usage
coverage(object,coefficient,u.grid=NULL,model="linear")
Arguments
object |
the pqrBayes object. |
coefficient |
the vector of true regression coefficients under a linear model (i.e., LASSO), binary LASSO, group LASSO, or the matrix of true varying coefficients evaluated on the grid points under a varying coefficient model. |
u.grid |
the vector of grid points under a varying coefficient model. When assessing empirical coverage probabilities under a linear model (i.e., LASSO), binary LASSO or group LASSO, u.grid = NULL. |
model |
the model to be fitted. Users can also choose "linear" for a linear model (i.e., LASSO), "binary" for binary LASSO, "group" for group LASSO, and "VC" for a varying coefficient model. |
Value
c
See Also
Examples
## The quantile regression model
data(data)
data = data$data_linear
g=data$g
y=data$y
e=data$e
coeff = data$coeff
fit1=pqrBayes(g,y,u=NULL,e,d=NULL,quant=0.5,spline=NULL, model="linear")
coverage=coverage(fit1,coeff,model="linear")
[Package pqrBayes version 1.1.3 Index]