absolute.plot: Plotting Treatment-Specific 95% Credible Intervals

In pcnetmeta: Patient-Centered Network Meta-Analysis

Plotting Treatment-Specific 95% Credible Intervals

Description

Generates a plot of 95% credible intervals (CIs) for the treatment-specific effect sizes.

Usage

absolute.plot(nma.obj, alphabetic = TRUE, digits = 2,
              save = TRUE, width = 5, height, network.name)

Arguments

nma.obj	a list object obtained by function nma.ab.bin, nma.ab.cont, nma.ab.py, or nma.ab.followup.
alphabetic	a logical value indicating whether to sort the CIs according to treatment names alphabetically. The default is TRUE. If FALSE, the CIs are plotted in the order of treatment IDs specified in nma.obj.
digits	an integer specifying the number of decimal places to be used for the point estimates and 95% CIs. The default is 2.
save	a logical value indicating whether to save the plot as a .pdf file. If FALSE, a plot window will be displayed. The following arguments are only used when save = TRUE.
width	a positive number specifying the plot width. The default is 5.
height	a positive number specifying the plot height. The default is the treatment number minus 1.
network.name	a character string indicating the network name to be used for the produced .pdf file name.

Value

None.

Examples

data("smoke")
# increase n.iter to reach convergence
set.seed(1234)
nma.out <- nma.ab.bin(s.id, t.id, r, n, data = smoke,
  trtname = c("NC", "SH", "IC", "GC"), param= "AR",
  model = "het_cor", n.adapt = 1000, n.iter = 100, n.chains = 1)
absolute.plot(nma.out, save = FALSE)
#absolute.plot(nma.out)
absolute.plot(nma.out, alphabetic = FALSE, save = FALSE)

pcnetmeta documentation built on Aug. 31, 2022, 9:08 a.m.