plot.InvariantCausalPrediction {InvariantCausalPrediction} | R Documentation |
Plots of "InvariantCausalPrediction" objects
Description
Plots confidence intervals for invariant causal prediction (output of ICP
function)
Usage
## S3 method for class 'InvariantCausalPrediction'
plot(x,
maxshow = 50, col1 = NULL, col2 = NULL, col3 = NULL,
mar = c(10, 4, 3, 1), lwd = 1, ...)
Arguments
x |
Object of class "InvariantCausalPrediction", as generated by function |
maxshow |
Maximal number of variables to show confidence intervals for |
col1 |
Colour of confidence intervals generated by accepted sets of variables (defaults to light red). |
col2 |
Colour of point-estimates generated by accepted sets of variables (defaults to light red). |
col3 |
Colour of confidence intervals generated by procedure (defaults to blue). |
mar |
Margins for the figure (might need to be adjusted to allow for long variable names. |
lwd |
Scaling of the width of the lines used for individual confidence intervals. |
... |
Additional inputs to generic |
Value
Does not return an object.
Author(s)
Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
References
Jonas Peters, Peter Buhlmann, Nicolai Meinshausen (2015):
Causal inference using invariant prediction: identification and confidence intervals
arxiv preprint http://arxiv.org/abs/1501.01332