| scatterplots_dev {rnmamod} | R Documentation |
Deviance scatterplots
Description
Illustrates the posterior mean of deviance contribution of the
individual data points under the unrelated mean effects model (via
run_ume) against the posterior mean of deviance contribution
under the consistency model (via run_model).
Usage
scatterplots_dev(full, ume, colour)
Arguments
full |
A numeric vector with the posterior mean of deviance obtained
using the consistency model (see 'Value' in |
ume |
A numeric vector with the posterior mean of deviance obtained
using the unrelated mean effects model (see 'Value' in
|
colour |
A string to define the colour of the points in the plot. |
Details
scatterplots_dev is integrated in the ume_plot
function to compare the models regarding the posterior mean of deviance.
This scatterplot has also been considered by Dias et al. (2013).
When the majority of data points are scattered across the diagonal line,
we may conclude that the compared models have a good agreement. Data points
systematically scattered above or below the diagonal line may
contribute more to the poor fit of the unrelated mean effects model and the
consistency model, respectively.
Value
A scatterplot of the posterior mean deviance contribution of the
individual data points from the unrelated mean effects model against those
from the consistency model. Each data point corresponds to a trial-arm
indicated by a pair of numbers. The first number refers to the position
of the trial in the dataset, and the second number refers to the
corresponding trial-arm (see 'Arguments' and 'Value' in
data_preparation).
Author(s)
Loukia M. Spineli
References
Dias S, Welton NJ, Sutton AJ, Caldwell DM, Lu G, Ades AE. Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials. Med Decis Making 2013a;33(5):641–56. doi: 10.1177/0272989X12455847
See Also
data_preparation, run_model,
run_ume, ume_plot