CGaPlotDiag | R Documentation |
Diagnostics plots for hazard rate (Lambda), latent variable (U), dependence variable (C), parameter of the hierarchical model (Epsilon) and regression coefficients (Theta).
CGaPlotDiag(M, variable = "Lambda", pos = 1)
M |
Tibble. Contains the output by |
variable |
Either "Lambda", "U", "C", "Epsilon" or "Theta". Variable for which diagnostics plot will be shown. |
pos |
Positive integer. Position of the selected |
This function returns a diagnostics plot for the chain of the selected variable. The diagnostics includes trace, ergodic mean, autocorrelation function and histogram.
- Nieto-Barajas, L. E. (2003). Discrete time Markov gamma processes and time dependent covariates in survival analysis. Bulletin of the International Statistical Institute 54th Session. Berlin. (CD-ROM).
- Nieto-Barajas, L. E. & Walker, S. G. (2002). Markov beta and gamma processes for modelling hazard rates. Scandinavian Journal of Statistics 29: 413-424.
CGaMRes
## Simulations may be time intensive. Be patient.
## Example 1
# data(leukemiaFZ)
# leukemia1 <- leukemiaFZ
# leukemia1$wbc <- log(leukemiaFZ$wbc)
# CGEX1 <- CGaMRes(data = leukemia1, K = 10, iterations = 1000, thinning = 1)
# CGaPlotDiag(CGEX1,variable="Theta",pos=1)
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