Description Usage Arguments Author(s) Examples
Four sets of MCMC diagnostic plots are currently generated: 1) log-likelihood trace plots, 2) coefficient trace plots, 3) coefficient autocorrelation plots, 4) coefficient histograms.
1 2 |
x |
A |
pval |
The P-value at which lower/upper bounds on coefficients are calculated and overlaid on trace plots and historgrams. |
burnin |
Number of samples discarded from the beginning of an MCMC chain, after which parameter quantiles are calculated. |
nrow |
Number of rows of subplots within each figure, applied to plot sets 2-4. |
ncol |
Number of columns of subplots within each figure, applied to plot sets 2-4. |
... |
Further arguments to be passed to/from other methods. |
Alireza S. Mahani, Mansour T.A. Sharabiani
1 2 3 | est <- bayesmixsurv(Surv(futime, fustat) ~ ecog.ps + rx, ovarian
, control=bayesmixsurv.control(iter=800, nskip=100))
plot(est)
|
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