backward |
Stepwise model selection by backward elimination and forward selection of edges or interaction terms |
cleanData |
Remove cases from cells set to zero by structurally |
disposeOfEh |
Dispose of the model classes of the EH procedure |
disposeOfModel |
Dispose of models |
disposeOfQtable |
Dispose of Q-tables and Q-lists (structurally zero cells) |
editModel |
Edit model |
eh |
The Edwards and Havranek model search procedure |
ehExtract |
Extract models from the EH-procedure |
ehFindDual |
Find duals in the EH procedure |
ehFit |
Fit and classify models in the EH procedure |
ehForceAccept |
Force models into the classes of the EH procedure |
ehForceAddDualToClass |
Force a dual into a class of models of the EH procedure |
ehForceFix |
Fix edges or terms of the models in the EH procedure |
ehForceReject |
Force models into the classes of the EH procedure |
ehSetBase |
The base model of the EH procedure |
ehSetMainEffects |
Set the main effects of the models in the EH procedure |
emOn |
Handling of latent variables and missing values by the EM algorithm |
endCoCo |
End a CoCo object |
enterDataFrame |
Enter a data.frame into a CoCo object |
enterList |
Enter a list of cases into a CoCo object |
enterModel |
Enter a model |
enterNames |
Enter a specification of variables into the CoCo object |
enterQlist |
Enter initial values for the IPS algorithm and declare cells to be zero by structure |
enterQtable |
Enter initial values for the IPS algorithm and declare cells to be zero by structure |
enterTable |
Enter a table of counts of the tables formed by cross classifying discrete variables |
enterTwoLists |
Enter a list of cases into a CoCo object |
excludeMissing |
Handling of missing values by excluding cases |
exportCoCo |
Write and read the CoCo data and the models to a binary file |
extractData |
Extract the data from a CoCo Object |
forward |
Stepwise model selection by backward elimination and forward selection of edges or interaction terms |
importCoCo |
Write and read the CoCo data and the models to a binary file |
isSubmodel |
Is the CURRENT model a sub model of the BASE model ? |
makeBase |
Move the pointer named CURRENT (BASE) in the CoCo object |
makeCurrent |
Move the pointer named CURRENT (BASE) in the CoCo object |
numberVariates |
The number of variables in the CoCo object |
optionsCoCo |
Options settings for CoCo objects |
partialAssociations |
Show partial associations |
propertyModel |
Ask a query for a model |
propertySet |
Ask a query for a set of variables |
quitCoCo |
End a CoCo object |
randomTableReplacement |
Replace the table of counts with a random table with margins unchanged |
returnDeviance |
Return likelihoods, deviance, dimensions, etc. |
returnEdges |
Return the indices of vertices of edges |
returnExpression |
Return the expression of the estimates of parameters |
returnFix |
Return the edges fixed in model selection |
returnJunctionTree |
Return the junction tree |
returnModel |
Return the model |
returnModelNumber |
Return the number of the CURRENT, BASE, or the LAST model |
returnModelVariates |
Return the variates of the model |
returnNcells |
Return the number of cells in a table |
returnSets |
Return a specific subset of the variables |
returnTable |
Return the counts and fitted values of a marginal table |
returnTest |
Return the Pearson $chi^2$, the power divergence, etc. |
returnVariableDescription |
Return the specification of the data in the CoCo object |
returnVertexOrder |
Return vertex order |
setOrdinal |
Declare some of the discrete variables to be ordinal |
setUseVariables |
Declare which variables to enter |
showDeviance |
Show the difference between likelihoods, dimension, etc. |
showFormula |
Show the model formula |
showModel |
Show the model |
showOptions |
Show the options of the CoCo object |
showTable |
The counts and fitted values of a marginal table |
showTest |
Show the Pearson $chi^2$, the power divergence, etc. |
showTests |
Show all the stored tests of a CoCo object |
showVertexOrder |
Show the vertex ordering |
sinkCoCo |
Direct output to a file |
summaryTable |
Univariate summary statistics for table values |