gRapfa is for modelling discrete longitudinal data using acyclic probabilistic finite automata (APFA). The package contains functions for constructing APFA models from a given data using penalized likelihood methods. For graphical display of APFA models, gRapfa depends on 'igraph package'. gRapfa also contains an interface function to Beagle software that implements an efficient model selection algorithm.
|Author||Smitha Ankinakatte <Smitha.AA@agrsci.dk> and David Edwards <David.Edwards@agrsci.dk>|
|Date of publication||2014-04-11 22:47:57|
|Maintainer||Smitha Ankinakatte <Smitha.AA@agrsci.dk>|
|License||GPL (>= 2)|
add.stats: Add attributes to an APFA
apfa2NS: APFA to node symbol array
BioFam: Biographical survey of family life states
contract.last.level: Contract last level
cross.validate: K - cross validation
dIC: Difference in information criteria
fit.APFA: Fitting an APFA igraph object to data
getXY: To get XY co-ordinates for the igraph plots.
gRapfa-package: Models for discrete longitudinal data using APFA.
KL: Kullback-Leibler divergence for APFA models
LogLike.APFA: Log likelihood for an APFA model
merge2nodes: Merge two nodes
MergeNodes: Merge given node set of an APFA
MergeSelect: Selection of nodes to merged at a level
mildew.raw: A cross between two isolates of the barley powdery Mildew...
select.beagle: Select APFA using Beagle
select.IC: Selection of APFA model using penalised likelihood criteria
simulateAPFA: Simulation of data from an APFA model
st: Sample tree
Wheeze: Wheeze in Steubenville children