View source: R/print.summary.crossnma.model.R
print.summary.crossnma.model | R Documentation |
Print code of JAGS model for cross-design & -format network meta-analysis or regression
## S3 method for class 'summary.crossnma.model'
print(x, ...)
x |
An object of class |
... |
Additional arguments (ignored). |
No return value (print function).
Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
summary.crossnma.model
# 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")
summary(mod)
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