plot_SS_panel: Plot silver-standard (SS) panel

In zhenkewu/baker: "Nested Partially Latent Class Models"

Plot silver-standard (SS) panel

Description

Plot silver-standard (SS) panel

Usage

plot_SS_panel(
  slice,
  data_nplcm,
  model_options,
  clean_options,
  bugs.dat,
  res_nplcm,
  bg_color,
  select_latent = NULL,
  exact = TRUE,
  top_SS = 1,
  cexval = 1,
  srtval = 0,
  prior_shape = "interval"
)

Arguments

slice	the index of measurement slice for SS.
data_nplcm	See nplcm()
model_options	See nplcm()
clean_options	See clean_perch_data()
bugs.dat	Data input for the model fitting.
res_nplcm	See nplcm_read_folder()
bg_color	A list with names "BrS", "SS", "pie" to specify background colors
select_latent	a vector of character strings representing latent status. It is used for just plotting a subset of latent status. For example, you can specify select_latent = "HINF" to plot all latent status information relevant to "HINF".
exact	Default is TRUE to use select_latent as exact names of causes. If you want to specify a name and plot all single or combo causes with that name, specify it to be FALSE.
top_SS	Numerical value to specify the rightmost limit on the horizontal axis for the SS panel.
cexval	Default is 1 - size of text of the SS percentages.
srtval	Default is 0 - the direction of the text for the SS percentages.
prior_shape	interval or boxplot - for how to represent prior/posteriors of the TPR/FPRs of measurements.

Value

plotting function

See Also

Other visualization functions: plot.nplcm(), plot_BrS_panel(), plot_check_common_pattern(), plot_check_pairwise_SLORD(), plot_etiology_regression(), plot_etiology_strat(), plot_panels(), plot_pie_panel(), plot_subwt_regression()

zhenkewu/baker documentation built on May 6, 2024, 11:19 p.m.