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gAlgo-class

Class "gAlgo"


Description

"gAlgo" is a "VIRTUAL" class, the common basis of classes "pcAlgo" and "fciAlgo".

We describe the common slots here; for more see the help pages of the specific classes.

Slots

call:

a call object: the original function call.

n:

an "integer", the sample size used to estimate the graph.

max.ord:

an integer, the maximum size of the conditioning set used in the conditional independence tests of the (first part of the algorithm), in function skeleton.

n.edgetests:

the number of conditional independence tests performed by the (first part of the) algorithm.

sepset:

a list, the conditioning sets that led to edge deletions. The set that led to the removal of the edge i -- j is saved in either sepset[[i]][[j]] or in sepset[[j]][[i]].

pMax:

a numeric square matrix, where the (i,j)th entry contains the maximal p-value of all conditional independence tests for edge i -- j.

Author(s)

Martin Maechler

See Also

"pcAlgo" and "fciAlgo".

Examples

showClass("gAlgo")

pcalg

Methods for Graphical Models and Causal Inference

v2.7-2
GPL (>= 2)
Authors
Markus Kalisch [aut, cre], Alain Hauser [aut], Martin Maechler [aut], Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb], Antti Hyttinen [ctb], Jonas Peters [ctb], Nicoletta Andri [ctb], Emilija Perkovic [ctb], Preetam Nandy [ctb], Philipp Ruetimann [ctb], Daniel Stekhoven [ctb], Manuel Schuerch [ctb], Marco Eigenmann [ctb], Leonard Henckel [ctb], Joris Mooij [ctb]
Initial release
2021-4-20

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