plotcredibility: Generic plot function for metadiag object in bamdit

In bamdit: Bayesian Meta-Analysis of Diagnostic Test Data

Generic plot function for metadiag object in bamdit

Description

This function plots the observe data in the ROC (Receiving Operating Characteristics) space with the posterior credibility contours.

Usage

plotcredibility(
  x,
  parametric.smooth = TRUE,
  level = c(0.5, 0.75, 0.95),
  limits.x = c(0, 1),
  limits.y = c(0, 1),
  color.line = "red",
  color.data.points = "blue",
  title = paste("Posterior Credibility Contours (50%, 75% and 95%)"),
  ...
)

Arguments

x	The object generated by the metadiag function.
parametric.smooth	Indicates if the predictive curve is a parametric or non-parametric.
level	Credibility levels of the predictive curve. If parametric.smooth = FALSE, then the probability levels are estimated from the nonparametric surface.
limits.x	Numeric vector of length 2 specifying the x-axis limits. The default value is c(0, 1).
limits.y	Numeric vector of length 2 specifying the x-axis limits. The default value is c(0, 1).
color.line	Color of the predictive contour line.
color.data.points	Color of the data points.
title	Optional parameter for setting a title in the plot.
...	...

See Also

metadiag.

Examples

## Not run: 
library(bamdit)
data("glas")
glas.t <- glas[glas$marker == "Telomerase", 1:4]
glas.m1 <- metadiag(glas.t,                # Data frame
                    re = "normal",         # Random effects distribution
                    re.model = "DS",       # Random effects on D and S
                    link = "logit",        # Link function
                    sd.Fisher.rho   = 1.7, # Prior standard deviation of correlation
                    nr.burnin = 1000,      # Iterations for burnin
                    nr.iterations = 10000, # Total iterations
                    nr.chains = 2,         # Number of chains
                    r2jags = TRUE)         # Use r2jags as interface to jags


 plotcredibility(glas.m1,         # Fitted model
      level = c(0.5, 0.75, 0.95), # Credibility levels
      parametric.smooth = TRUE)   # Parametric curve

## End(Not run)

bamdit documentation built on Sept. 30, 2024, 9:36 a.m.