SUCRA: SUCRA from bayesian model

In meta2020/net.meta: The Functions for Network Meta Analysis

Description

To calculate SUCRA from bayesian model.

Usage

SUCRA(bmt, digits = 3)

Arguments

bmt	result from model_gemtc
digits	digits of the result

Value

SUCRA result

Examples

LDT1 <- read.csv(system.file("extdata", "HR_SH_D.csv", package = "net.meta"))
trt1 <- read.table(system.file("extdata", "HR_SH_D.txt", package = "net.meta"),
    header=TRUE,quote = '"', stringsAsFactors=FALSE)

trt1$description <- factor(trt1$description, trt1$description)
LDT1$study <- factor(LDT1$study, unique(LDT1$study))

bmt1 <- model_gemtc(
long.data=LDT1,
id.treatments=trt1,
reference="A",
outcome="HR",
mtc.n.adapt = 5000, mtc.n.iter = 10000, mtc.thin = 20)

# View(bmt1)

SUCRA(bmt1)

meta2020/net.meta documentation built on March 30, 2021, 7:31 p.m.