effect.hmr {jarbes}R Documentation

Posterior distribution of Effectiveness for a subgroup of patients

Description

This function estimates the posterior distribution for a subgroup of patients identified with the function hmr (Hierarchical Meta-Regression).

Usage

## S3 method for class 'hmr'
effect(
  object,
  B.lower = 0,
  B.upper = 3,
  k = 1,
  level = c(0.5, 0.75, 0.95),
  x.lim = c(-9, 5),
  y.lim = c(-1, 5),
  x.lab = "Baseline risk",
  y.lab = "Effectiveness",
  title.plot = paste("Posterior Effectiveness for a subgroup (50%, 75% and 95%)"),
  kde2d.n = 25,
  marginals = TRUE,
  bin.hist = 30,
  color.line = "black",
  color.hist = "white",
  color.data.points = "black",
  alpha.data.points = 0.1,
  S = 5000,
  display.probability = FALSE,
  line.no.effect = 0,
  font.size.title = 20,
  ...
)

Arguments

object

The object generated by the function hmr.

B.lower

Lower limit of bias correction. The default is 0 meaning no bias correction.

B.upper

Upper limit of bias correction. The default is 3 meaning three times bias correction.

k

Covariable number indicating the subgroup.

level

Vector with the probability levels of the contour plot. The default values are: 0.5, 0.75, and 0.95.

x.lim

Numeric vector of length 2 specifying the x-axis limits.

y.lim

Numeric vector of length 2 specifying the y-axis limits.

x.lab

Text with the label of the x-axis.

y.lab

Text with the label of the y-axis.

title.plot

Text for setting a title in the bias plot.

kde2d.n

The number of grid points in each direction for the non-parametric density estimation. The default is 25.

marginals

If TRUE the marginal histograms of the posteriors are added to the plot.

bin.hist

The number of bins in for the histograms. The default value is 30.

color.line

The color of the contour lines. The default is "black.

color.hist

The color of the histogram bars. The default is "white".

color.data.points

The color of the data points. The default is "black".

alpha.data.points

Transparency of the data points.

S

The number of sample values from the joint posterior distribution used to approximate the contours. The default is S=5000.

display.probability

Logical, if TRUE the figure display probabilities.

line.no.effect

Horizontal line used as reference for no effect.

font.size.title

Font size of the title.

...

...


[Package jarbes version 2.2.1 Index]