gRapfa (version 1.0)

select.IC: Selection of APFA model using penalised likelihood criteria

Description

Selects an APFA using the algorithm described in Ankinakatte and Edwards (2014)

Usage

select.IC(dat, crit = "BIC", verbose = FALSE)

Arguments

dat

a data frame whose variables are factors. Any missing values are regarded as additional factor levels.

crit

Model selection criteria, either AIC or BIC.

verbose

If verbose=TRUE, then the function prints calculations involved in merge selection method.

Value

Returns an APFA model

References

Ankinakatte, S. and Edwards, D. Modelling discrete longitudinal data using acyclic probabilistic finite automata. Submitted to C.S.D.A.

Examples

library(gRapfa)
data(Wheeze)
G <- select.IC(Wheeze)