rank.relative.array: Rank relative effects obtained between specific doses

In MBNMAdose: Dose-Response MBNMA Models

Rank relative effects obtained between specific doses

Description

Ranks "relative.table" objects generated by get.relative().

Usage

## S3 method for class 'relative.array'
rank(x, lower_better = TRUE, ...)

Arguments

x	An object on which to apply the rank method
lower_better	Indicates whether negative responses are better (TRUE) or positive responses are better (FALSE)
...	Arguments to be passed to methods

Value

An object of class("mbnma.rank") which is a list containing a summary data frame, a matrix of rankings for each MCMC iteration, and a matrix of probabilities that each agent has a particular rank, for each parameter that has been ranked.

Examples

# Using the triptans data
network <- mbnma.network(triptans)

# Rank selected predictions from an Emax dose-response MBNMA
emax <- mbnma.run(network, fun=demax(), method="random")
rels <- get.relative(emax)
rank <- rank(rels, lower_better=TRUE)

# Print and generate summary data frame for `mbnma.rank` object
summary(rank)
print(rank)

# Plot `mbnma.rank` object
plot(rank)

MBNMAdose documentation built on Aug. 8, 2023, 5:11 p.m.