CuPlotDiag {BGPhazard} R Documentation

Diagnosis plots for Lambda, U, C, Mu, Pi, Z and Epsilon

Description

Diagnostics plots for hazard rate (Lambda), latent variable (U), dependence variable (C), mean of cure threshold (Mu), cure proportion (Pi), cure threshold (Z) and the parameter of the hierarchical prior (Epsilon).

Usage

CuPlotDiag(M, variable = "Lambda", pos = 1)


Arguments

 M List. Contains the output by CuMRes. variable Either "Lambda", "U", "C", "Mu", "Pi", "Z" or "Epsilon". Variable for which diagnostic plot will be shown. pos Positive integer. Position of the selected variable to be plotted.

Details

This function returns a diagnostics plot for which the chain for the selected variable can be monitored. Diagnostics includes trace, ergodic mean, autocorrelation function and histogram.

References

Nieto-Barajas, L. E., & Yin, G. (2008). Bayesian semiparametric cure rate model with an unknown threshold. Scandinavian Journal of Statistics, 35(3), 540-556. https://doi.org/10.1111/j.1467-9469.2007.00589.x

Examples



## Simulations may be time intensive. Be patient.

## Example 1
# data(crm3)
# times<-crm3$times # delta<-crm3$delta
# res <- CuMRes(times, delta, type.t = 2,
#                   K = 100, length = .1, alpha = rep(1, 100  ),
#                   beta = rep(1, 100),c.r = rep(50, 99),
#                   iterations = 100, burn.in = 10, thinning = 1, type.c = 2)
# CuPlotDiag(M = res, variable = "Mu")
# CuPlotDiag(M = res, variable = "Z")
# CuPlotDiag(M = res, variable = "Pi")
# CuPlotDiag(M = res, variable = "Lambda", pos = 2)
# CuPlotDiag(M = res, variable = "U", pos = 4)
# CuPlotDiag(M = res, variable = "C", pos = 3)



[Package BGPhazard version 2.1.1 Index]