crimCV interface
# S4 method for lcMethodCrimCV
getArgumentDefaults(object)# S4 method for lcMethodCrimCV
getArgumentExclusions(object)
# S4 method for lcMethodCrimCV
getCitation(object, ...)
# S4 method for lcMethodCrimCV
getName(object)
# S4 method for lcMethodCrimCV
getShortName(object)
# S4 method for lcMethodCrimCV
prepareData(method, data, verbose, ...)
# S4 method for lcMethodCrimCV
fit(method, data, envir, verbose, ...)
# S4 method for lcModelCrimCV
predictForCluster(object, newdata, cluster, what = "mu", ...)
# S4 method for lcModelCrimCV
postprob(object)
# S3 method for lcModelCrimCV
logLik(object, ...)
# S3 method for lcModelCrimCV
coef(object, ...)
# S4 method for lcModelCrimCV
converged(object)
The object.
Not used.
An object inheriting from lcMethod with all its arguments having been evaluated and finalized.
A data.frame representing the transformed training data.
A R.utils::Verbose object indicating the level of verbosity.
The environment containing variables generated by prepareData() and preFit().
A data.frame of trajectory data for which to compute trajectory assignments.
The cluster name (as character) to predict for.
The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying what = 'mb'.
lcMethodCrimCV crimCV