bzPredSubgrp {beanz} | R Documentation |
Predictive Distribution
Description
Get the predictive distribution of the subgroup treatment effects
Usage
bzPredSubgrp(stan.rst, dat.sub, var.estvar)
Arguments
stan.rst |
a class |
dat.sub |
dataset with subgroup treatment effect summary data |
var.estvar |
column names in dat.sub that corresponds to treatment effect estimation and the estimated variance |
Value
A dataframe of predicted subgroup treament effects. That is, the distribution of
\theta_g | \widehat{\theta}_1, \widehat{\sigma}^2_1, \ldots,
\widehat{\theta}_G, \widehat{\sigma}^2_G.
Examples
## Not run:
var.cov <- c("sodium", "lvef", "any.vasodilator.use");
var.resp <- "y";
var.trt <- "trt";
var.censor <- "censor";
resptype <- "survival";
var.estvar <- c("Estimate", "Variance");
subgrp.effect <- bzGetSubgrp(solvd.sub,
var.resp = var.resp,
var.trt = var.trt,
var.cov = var.cov,
var.censor = var.censor,
resptype = resptype);
rst.nse <- bzCallStan("nse", dat.sub=subgrp.effect,
var.estvar = var.estvar, var.cov = var.cov,
par.pri = c(B=1000),
chains=4, iter=4000,
warmup=2000, thin=2, seed=1000);
pred.effect <- bzPredSubgrp(rst.nes,
dat.sub = solvd.sub,
var.estvar = var.estvar);
## End(Not run)
[Package beanz version 3.1 Index]