regTest {causalDisco} | R Documentation |
We test whether x
and y
are associated, given
S
using a generalized linear model.
regTest(x, y, S, suffStat)
x |
Index of x variable |
y |
Index of y variable |
S |
Index of S variable(s), possibly NULL |
suffStat |
Sufficient statistic; list with data, binary variables and order. |
All included variables should be either numeric or binary. If
y
is binary, a logistic regression model is fitted. If y
is numeric,
a linear regression model is fitted. x
and S
are included as
explanatory variables. Any numeric variables among x
and S
are
modeled with spline expansions (natural splines, 3 df). This model is tested
against a numeric where x
(including a possible spline expansion) has
been left out using a likelihood ratio test.
The model is fitted in both directions (interchanging the roles
of x
and y
). The final p-value is the maximum of the two
obtained p-values.
A numeric, which is the p-value of the test.