Learn R Programming

beanz (version 3.1)

bzSummary: 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) )

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.

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

See Also

bzCallStan

Examples

Run this code
if (FALSE) {
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);}

Run the code above in your browser using DataLab