logic.bagging
or logicFS
by Pearson's ChiSquare Statistic. Only available for the classification and the logistic
regression approach of logic regression.
vim.chisq(object, data = NULL, cl = NULL)
logicFS
or the output of an application of
logic.bagging
with importance = TRUE
.logic.bagging
or logicFS
, and each row corresponds to an observation. Must be specified if
object
is an object of class logicFS
, or cl
is specified. If
object
is an object of class logicBagg
and neither data
nor cl
is specified, data
and cl
stored in object
is used to compute the
ChiSquare statistics. It is, however, highly recommended to use new data
to test
the interactions contained in object
, as they have been found using the data
stored in object
, and it is very likely that most of them will show up as interesting
if they are tested on the same data set.data
.
Must be specified either if object
is an object of class logicFS
, or if data
is specified.logicFS
containing
object
is the output of logicFS
or vim.logicFS
with addInfo = TRUE
),vim.logicFS
(and vim.norm
and vim.signperm
),
vim.chisq
does neither take the logic regression models into acount nor uses the out-of-bag
observations for computing the importances of the identified interactions. It "just" tests each
of the found interactions on the whole data set by calculating Pearson's ChiSquare statistic for
each of these interactions. It is, therefore, highly recommended to use an independent data set
for specifying the importances of these interactions with vim.chisq
.
logic.bagging
, logicFS
,
vim.logicFS
, vim.norm
, vim.ebam