Posterior summaries from stan_nma objects
Posterior summaries of model parameters in stan_nma
objects may be produced
using the summary()
method and plotted with the plot()
method. NOTE: To
produce relative effects, absolute predictions, or posterior ranks, see
relative_effects()
, predict.stan_nma()
, posterior_ranks()
,
posterior_rank_probs()
.
## S3 method for class 'stan_nma' summary(object, ..., pars, include, probs = c(0.025, 0.25, 0.5, 0.75, 0.975)) ## S3 method for class 'stan_nma' plot( x, ..., pars, include, stat = "pointinterval", orientation = c("horizontal", "vertical", "y", "x"), ref_line = NA_real_ )
... |
Additional arguments passed on to other methods |
pars, include |
See |
probs |
Numeric vector of specifying quantiles of interest, default
|
x, object |
A |
stat |
Character string specifying the |
orientation |
Whether the |
ref_line |
Numeric vector of positions for reference lines, by default no reference lines are drawn |
summary |
Logical, calculate posterior summaries? Default |
The plot()
method is a shortcut for plot(summary(stan_nma))
. For
details of plotting options, see plot.nma_summary()
.
A nma_summary object
## Smoking cessation # Run smoking RE NMA example if not already available if (!exists("smk_fit_RE")) example("example_smk_re", run.donttest = TRUE) # Summary and plot of all model parameters summary(smk_fit_RE) plot(smk_fit_RE) # Summary and plot of heterogeneity tau only summary(smk_fit_RE, pars = "tau") plot(smk_fit_RE, pars = "tau") # Customising plot output plot(smk_fit_RE, pars = c("d", "tau"), stat = "halfeye", ref_line = 0)
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