crossnma (version 1.3.0)

plot.crossnma: Trace plot of MCMC output

Description

Produces a separate plot for each parameter in the JAGS model. Each plot shows iterations vs sampled values.

Usage

# S3 method for crossnma
plot(x, ...)

Value

No return value (plot function).

Arguments

x

An object generated by crossnma.

...

Additional arguments (passed on to traceplot)

Author

Tasnim Hamza

See Also

crossnma, traceplot

Examples

if (FALSE) {
# We conduct a network meta-analysis assuming a random-effects
# model.
# The data comes from randomized-controlled trials and
# non-randomized studies (combined naively)
head(ipddata) # participant-level data
stddata # study-level data

# Create a JAGS model
mod <- crossnma.model(treat, id, relapse, n, design,
  prt.data = ipddata, std.data = stddata,
  reference = "A", trt.effect = "random", method.bias = "naive")

# Fit JAGS model
set.seed(1909)
fit <- crossnma(mod)

# Trace plot of model parameters
plot(fit)
}