plotInterventionVars: Plots the estimated intervention variances.
In christinaheinze/backShift: Learning Causal Cyclic Graphs from Unknown Shift Interventions
Description
Plots the estimated intervention variances.
Usage
1
plotInterventionVars(estIntVars, trueIntVars = NULL, scales_facet = "free")
Arguments
estIntVars
A (Gxp)-dimensional matrix with the estimated intervention
variances returned by backShift (as varianceEnv).
G is the number of unique environments, p is the number of variables.
trueIntVars
A (Gxp)-dimensional matrix with the true intervention variances
if these are known (for simulations). By default this paramter is set to NULL.
scales_facet
scales argument passed to ggplot's facet_wrap
christinaheinze/backShift documentation built on May 13, 2019, 7 p.m.
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Description
Plots the estimated intervention variances.
Usage
1 | plotInterventionVars(estIntVars, trueIntVars = NULL, scales_facet = "free")
|
Arguments
estIntVars |
A (Gxp)-dimensional matrix with the estimated intervention
variances returned by |
trueIntVars |
A (Gxp)-dimensional matrix with the true intervention variances if these are known (for simulations). By default this paramter is set to NULL. |
scales_facet |
scales argument passed to ggplot's facet_wrap |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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