fitted.rjMCMC {fkbma} | R Documentation |
Fitted values from Reversible Jump MCMC (rjMCMC) Model Results
Description
This function generates posterior fitted values from an rjMCMC model based on the provided data. It combines the fixed effects, spline terms, and binary parameters.
Usage
## S3 method for class 'rjMCMC'
fitted(object, newdata = NULL, ...)
Arguments
object |
An object of class rjMCMC containing the output from the
|
newdata |
A data frame for which fitted values are to be computed. If NA, the original fitted data is used. |
... |
Additional arguments to be passed to other methods or functions. |
Value
A matrix of fitted values.
Examples
# Example dataset
data("simulated_data")
candsplinevars <- c("X_1")
candbinaryvars <- paste0("Z_", 1:5)
candinter <- c(candsplinevars, candbinaryvars)
results <- rjMCMC(simulated_data, candsplinevars, candbinaryvars, candinter,
outcome = "Y", factor_var = "trt")
newdata = data.frame(Z_1 = 1, Z_2 = 1, Z_3 = 1, Z_4 = 1, Z_5 = 1,
trt = 1, X_1 = seq(0,1,by=0.01))
fitted(results)
fitted(results,newdata)