Create posterior forest plots for relative treatment effect estimates from a standard or RaCE NMA study

Source: R/forestplot_muhat.R

This function creates posterior forest plots for relative treatment effect estimates from a standard or RaCE NMA study.

forestplot_muhat(
  data = NULL,
  mcmc = NULL,
  names = NULL,
  level = 0.95,
  order_by_average = TRUE
)

Arguments

data

A NxJ matrix of data to display as a forest plot, where N is the number of observations and J the number of treatments. This feature is designed for use to display a forest plot of results from a standard NMA study.

mcmc

MCMC draws from the RaCE NMA model, in the form of the model output of the mcmc_RCMVN function.

names

A vector of intervention names (optional)

level

A numeric indicating the desired credible level to be displayed, as a proportion. Defaults to 0.95.

order_by_average

A boolean indicating if plot should order treatments by their average treatment effect.

Value

A ggplot of posterior forest plots for the mu parameter.

Examples

data("toy_data")
forestplot_muhat(data=toy_data,names=paste0("Treatment ",1:4))