R: Find relative effects for base treatment and comparison...

relative.effects {bnma}

R Documentation

Find relative effects for base treatment and comparison treatments

Description

This function calculates relative effects for base treatment and comparison treatments.

Usage

relative.effects(
  result,
  base.treatment = NULL,
  comparison.treatments = NULL,
  base.category = NULL,
  comparison.categories = NULL,
  covariate = NULL
)

Arguments

`result`	Object created by `network.run` function
`base.treatment`	Base treatment user wants for the relative effects. Base treatment is initially set by `Treat.order` parameter in `network.data` (first one in the list). If set to null, default is to use base treatment.
`comparison.treatments`	Treatments that user wants to compare against base treatment. If set to null, all the treatments besides base treatment is considered as comparison treatments.
`base.category`	Base category user wants for the relative effects. Only used for multinomial data.
`comparison.categories`	Category that user wants to compare against base.category. Only used for multinomial data.
`covariate`	Covariate value at which to compute relative effects. Only used if covariate value is specified in the model.

Value

This returns a mcmc.list sample of relative effects for the base treatment specified. This allows user to obtain relative effects of different base.treatment after the sampling has been done. For a simple summary, use relative.effects.table.

Examples

network <- with(parkinsons, {
 network.data(Outcomes, Study, Treat, SE = SE, response = "normal")
})

result <- network.run(network)
summary(relative.effects(result, base.treatment = "Placebo"))