regrVonPS: Check if variable can be regressed to independence on its...

In kpcalg: Kernel PC Algorithm for Causal Structure Detection

Description

Uses the generalised additive model gam to non-linearly and non-parametrically regress variable V on its parents and set of variables S.

Usage

regrVonPS(G, V, S, suffStat, indepTest = kernelCItest, alpha = 0.2)

Arguments

G	adjacency matrix, for the graph
V	integer, node which we regress
S	integer(s), set we regress on
suffStat	sufficient statistics to perform the independence test kernelCItest
indepTest	independence test to check for dependence between residuals of V and S
alpha	numeric cutoff for significance level of individual partial correlation tests

Value

regrVonPS() returns the number of p-values smaller than the cutoff, i.e 0 means residuals of V are independent of all variables in S

Author(s)

Petras Verbyla ([e-mail])

kpcalg documentation built on May 2, 2019, 12:39 p.m.