flexCItest {micd}

Wrapper for gaussCItest, disCItest and mixCItest

Description

A plug-in conditional independence test for pcalg::skeleton(), pcalg::pc() or pcalg::fci() when multiply imputed data sets are available. flexCItest() detects whether variables are continuous, discrete or mixed, and automatically switches between gaussCItest() (continuous only), disCItest() (discrete only) and mixCItest() (mixed variables).

Usage

flexCItest(x, y, S = NULL, suffStat)

Arguments

x, y, S

(integer) position of variable X, Y and set of variables S, respectively, in the dataset. It is tested whether X and Y are conditionally independent given the subset S of the remaining variables.

suffStat

a list generated using getSuff() with test="flexMItest". See below for details.

Details

suffStat needs to be a list with four elements named datlist, corlist, conpos and dispos. datlist is the list of imputed datasets. corlist is a list with M+1 elements, where M is the number of imputed datasets. For i=1,...,M, the the i-th element of corlist is the correlation matrix of the continuous variables in the i-th imputed dataset; the (M+1)-the element is the number of rows in each imputed dataset. conpos is a vector containing the integer positions of the continuous variables in the original dataset. dispos is a vector containing the integer positions of the discrete variables in the original dataset.

Value

A p-value.

See Also

gaussCItest(), disCItest() and mixCItest().

Examples

# load data (numeric and factor variables)
dat <- toenail2[1:400, ]

# obtain correct input 'suffStat' for 'flexCItest'
suff <- getSuff(dat, test="flexCItest")

flexCItest(2,3,NULL, suffStat = suff)