Plots the chain across (non-discarded) iterations for a specified observation
Arguments
- variable
Indicates the index of the variable
- chain
MCMC chains generated by a BASSLINE MCMC function
Examples
library(BASSLINE)
# Please note: N=1000 is not enough to reach convergence.
# This is only an illustration. Run longer chains for more accurate
# estimations.
LN <- MCMC_LN(N = 1000, thin = 20, burn = 40, Time = cancer[, 1],
Cens = cancer[, 2], X = cancer[, 3:11])
#> Sampling initial betas from a Normal(0, 1) distribution
#> Initial beta 1 : -0.45
#> Initial beta 2 : 1.03
#> Initial beta 3 : -0.36
#> Initial beta 4 : -0.48
#> Initial beta 5 : -0.64
#> Initial beta 6 : -1.15
#> Initial beta 7 : 2.2
#> Initial beta 8 : 1.31
#> Initial beta 9 : -1.92
#>
#> Sampling initial sigma^2 from a Gamma(2, 2) distribution
#> Initial sigma^2 : 0.24
#>
Trace_plot(1, LN)
