MMPCoutput-class: Class '"MMPCoutput"'

In MXM: Feature Selection (Including Multiple Solutions) and Bayesian Networks

Class "MMPCoutput"

Description

MMPC output object class.

Objects from the Class

Objects can be created by calls of the form new("MMPCoutput", ...).

Slots

selectedVars:

Object of class "numeric"

selectedVarsOrder:

Object of class "numeric"

hashObject:

Object of class "list"

pvalues:

Object of class "numeric"

stats:

Object of class "numeric"

univ:

Object of class "list"

max_k:

Object of class "numeric"

threshold:

Object of class "numeric"

n.tests:

Object of class "numeric"

runtime:

Object of class "proc_time"

test:

Object of class "character"

Methods

plot

plot(x = "MMPCoutput", mode = "all"): Generic function for plotting the generated pvalues of the MMPCoutput object. Argument mode = "all" for plotting all the pvalues or mode="partial" for partial plotting the first 500 pvalues

Author(s)

Giorgos Athineou <[e-mail]>

See Also

MMPC, SES

Examples

showClass("MMPCoutput")

MXM documentation built on Aug. 25, 2022, 9:05 a.m.