plot_etiology_strat: visualize the etiology estimates for each discrete levels

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

visualize the etiology estimates for each discrete levels

Description

This function visualizes the etiology estimates against one discrete covariate, e.g., age groups.

Usage

plot_etiology_strat(
  DIR_NPLCM,
  strata_weights = "empirical",
  truth = NULL,
  RES_NPLCM = NULL,
  show_levels = 0,
  is_plot = TRUE,
  VERBOSE = TRUE
)

Arguments

DIR_NPLCM	File path to the folder containing posterior samples
strata_weights	a vector of weights that sum to one; for each pathogen the weights specify how the j-th etiology fraction should be combined across all levels of the discrete predictors in the data; default is "empirical" to use empirical weights (observed fractions of subjects across strata).
truth	a list of true values, e.g., ⁠truth=list(allEti = <a list of etiology fractions, each of identical length - the # of strata; >)⁠; if available, will be shown in thicker red solid vertical lines.
RES_NPLCM	pre-read res_nplcm; default to NULL.
show_levels	a vector of integers less than or equal to the total number of levels of strata; default to 0 for overall.
is_plot	default to TRUE, plotting the figures; if FALSE only returning summaries
VERBOSE	default to TRUE, print actual meanings of the levels

Value

plotting function

See Also

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

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