bzSummary: Posterior subgroup treatment effects

In beanz: Bayesian Analysis of Heterogeneous Treatment Effect

Posterior subgroup treatment effects

Description

Present the posterior subgroup treatment effects

Usage

bzSummary(
  stan.rst,
  sel.grps = NULL,
  ref.stan.rst = NULL,
  ref.sel.grps = 1,
  cut = 0,
  digits = 3
)

bzPlot(stan.rst, sel.grps = NULL, ref.stan.rst = NULL, ref.sel.grps = 1, ...)

bzForest(
  stan.rst,
  sel.grps = NULL,
  ref.stan.rst = NULL,
  ref.sel.grps = 1,
  ...,
  quants = c(0.025, 0.975)
)

Arguments

stan.rst	a class beanz.stan object generated by bzCallStan
sel.grps	an array of subgroup numbers to be included in the summary results
ref.stan.rst	a class beanz.stan object from bzCallStan that is used as the reference
ref.sel.grps	subgroups from the reference model to be included in the summary table
cut	cut point to compute the probabiliby that the posterior subgroup treatment effects is below
digits	number of digits in the summary result table
...	options for plot function
quants	lower and upper quantiles of the credible intervals in the forest plot

Value

bzSummary generates a dataframe with summary statistics of the posterior treatment effect for the selected subgroups. bzPlot generates the density plot of the posterior treatment effects for the selected subgroups. bzForest generates the forest plot of the posterior treatment effects.

See Also

bzCallStan

Examples

## Not run: 
sel.grps <- c(1,4,5);
tbl.sub <- bzSummary(rst.sr, ref.stan.rst=rst.nse, ref.sel.grps=1);
bzPlot(rst.sr, sel.grps = sel.grps, ref.stan.rst=rst.nse, ref.sel.grps=1);
bzForest(rst.sr, sel.grps = sel.grps, ref.stan.rst=rst.nse, ref.sel.grps=1);
## End(Not run)

beanz documentation built on Aug. 9, 2023, 5:09 p.m.