View source: R/mb.predict-class.R
summary.mb.predict | R Documentation |
Prints a summary table of the mean of MCMC iterations at each time point for each treatment
## S3 method for class 'mb.predict'
summary(object, ...)
object |
An object of class |
... |
further arguments passed to or from other methods |
A matrix containing times at which responses have been predicted (time
)
and an additional column for each treatment for which responses have been predicted.
Each row represents mean MCMC predicted responses for each treatment at a particular
time.
# Define network
network <- mb.network(obesityBW_CFB, reference="plac")
# Run an MBNMA with a quadratic time-course function
quad <- mb.run(network,
fun=tpoly(degree=2, pool.1="rel", method.1="common",
pool.2="rel", method.2="common"),
intercept=TRUE)
# Predict responses
pred <- predict(quad, times=c(0:50), treats=c(1:5),
ref.resp = network$data.ab[network$data.ab$treatment==1,],
E0=10)
# Generate summary of predictions
summary(pred)
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