plot.crossnma function

Trace plot of MCMC output

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

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

Arguments

• x: An object generated by crossnma.
• ...: Additional arguments (passed on to traceplot)

Returns

No return value (plot function).

Examples

## Not run:

# 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)
## End(Not run)

See Also

crossnma, traceplot

Author(s)

Tasnim Hamza hamza.a.tasnim@gmail.com