plot_BrS_panel: Plot bronze-standard (BrS) panel

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

Plot bronze-standard (BrS) panel

Description

Plot bronze-standard (BrS) panel

Usage

plot_BrS_panel(
  slice,
  data_nplcm,
  model_options,
  clean_options,
  bugs.dat,
  res_nplcm,
  bg_color,
  select_latent = NULL,
  exact = TRUE,
  top_BrS = 1.3,
  cexval = 1,
  srtval = 0,
  prior_shape = "interval",
  silent = TRUE
)

Arguments

slice	the index of measurement slice for BrS.
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_BrS	Numerical value to specify the rightmost limit on the horizontal axis for the BrS panel.
cexval	Default is 1 - size of text of the BrS percentages.
srtval	Default is 0 - the direction of the text for the BrS percentages.
prior_shape	interval or boxplot - for how to represent prior/posteriors of the TPR/FPRs of measurements.
silent	Default is TRUE to not print any warning messages; FALSE otherwise.

Value

plotting function.

See Also

Other visualization functions: plot.nplcm(), plot_SS_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.