fciAlgo-class: Class "fciAlgo" of FCI Algorithm Results

Description

This class of objects is returned by functions fci(), rfci(), fciPlus, and dag2pag and represent the estimated PAG (and sometimes properties of the algorithm). Objects of this class have methods for the functions plot, show and summary.

Usage


# S4 method for fciAlgo
show(object)
# S3 method for fciAlgo
print(x, amat = FALSE, zero.print = ".", …)
# S4 method for fciAlgo
summary(object, amat = TRUE, zero.print = ".", …)
# S4 method for fciAlgo,ANY
plot(x, y, main = NULL, …)

Arguments

x, object

a "fciAlgo" object.

amat

logical indicating if the adjacency matrix should be shown (printed) as well.

zero.print

string for printing 0 (‘zero’) entries in the adjacency matrix.

(generic plot() argument; unused).

main

main title, not yet supported.

…

optional further arguments (passed from and to methods).

Slots

The slots call, n, max.ord, n.edgetests, sepset, and pMax are inherited from class "'>gAlgo", see there.

In addition, "fciAlgo" has slots

amat:: adjacency matrix; for the coding of the adjacency matrix see amatType
allPdsep: a list: the ith entry of this list contains Possible D-SEP of node number i.
n.edgetestsPDSEP: the number of new conditional independence tests (i.e., tests that were not done in the first part of the algorithm) that were performed while checking subsets of Possible D-SEP.
max.ordPDSEP: an integer: the maximum size of the conditioning sets used in the new conditional independence that were performed when checking subsets of Possible D-SEP.

Extends

Class "'>gAlgo".

Methods

plot: signature(x = "fciAlgo"): Plot the resulting graph
show: signature(object = "fciAlgo"): Show basic properties of the fitted object
summary: signature(object = "fciAlgo"): Show details of the fitted object

Examples

Run this code

# NOT RUN {
## look at slots of the class
showClass("fciAlgo")

## Also look at the extensive examples in ?fci , ?fciPlus, etc !

# }
# NOT RUN {
## Suppose, fciObj is an object of class fciAlgo
## access slots by using the @ symbol
fciObj@amat   ## adjacency matrix
fciObj@sepset ## separation sets

## use show, summary and plot method
fciObj ## same as  show(fciObj)
show(fciObj)
summary(fciObj)
plot(fciObj)
# }
# NOT RUN {
<!-- %dont -->
# }

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