plot.InvariantCausalPrediction: Plots of "InvariantCausalPrediction" objects

In InvariantCausalPrediction: Invariant Causal Prediction

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 ICP.
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 plot function (not used).

Value

Does not return an object.

Author(s)

Nicolai Meinshausen <[e-mail]>

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

See Also

ICP

InvariantCausalPrediction documentation built on Nov. 10, 2019, 5:06 p.m.