coef.rjMCMC {fkbma}R Documentation

Extract Posterior Mean Coefficients from rjMCMC Results

Description

This function extracts the posterior means of the intercept, exposure parameters, and binary parameters from the results of an rjMCMC model.

Usage

## S3 method for class 'rjMCMC'
coef(object, ...)

Arguments

object

An object of class rjMCMC containing the output from the rjMCMC procedure, which includes:

fixed_param

Matrix of posterior samples for exposure intercept and main effect.

binary_param

Matrix of posterior samples for binary variable parameters.

sigma_sq

Matrix of posterior samples for the residual variance (sigma squared).

vars_prop_summ

Posterior inclusion probabilities for candidate variables.

splines_fitted

List of matrices containing fitted values for spline terms across iterations.

data_fit

Original dataset used in the rjMCMC procedure.

candsplineinter

Names of continuous candidate predictive spline variables.

candsplinevars

Names of continuous candidate spline variables.

candbinaryvars

Names of binary candidate variables.

candinter

Names of interaction terms, which can include spline variables.

mcmc_specs

MCMC sampler specifications, including the number of iterations, burn-in, thinning, and chains.

...

Additional arguments to be passed to other methods or functions.

Value

A numeric vector containing the posterior mean of the intercept, exposure, and binary parameters.

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")
coef(results)


[Package fkbma version 0.2.0 Index]