interface-funFEM | R Documentation |
funFEM interface
## S4 method for signature 'lcMethodFunFEM'
getArgumentDefaults(object)
## S4 method for signature 'lcMethodFunFEM'
getArgumentExclusions(object)
## S4 method for signature 'lcMethodFunFEM'
getCitation(object, ...)
## S4 method for signature 'lcMethodFunFEM'
getName(object)
## S4 method for signature 'lcMethodFunFEM'
getShortName(object)
## S4 method for signature 'lcMethodFunFEM'
preFit(method, data, envir, verbose, ...)
## S4 method for signature 'lcMethodFunFEM'
fit(method, data, envir, verbose, ...)
## S3 method for class 'lcModelFunFEM'
fitted(object, ..., clusters = trajectoryAssignments(object))
## S4 method for signature 'lcModelFunFEM'
predictForCluster(
object,
newdata,
cluster,
what = "mu",
approxFun = approx,
...
)
## S4 method for signature 'lcModelFunFEM'
postprob(object, ...)
## S3 method for class 'lcModelFunFEM'
coef(object, ...)
## S3 method for class 'lcModelFunFEM'
logLik(object, ...)
## S4 method for signature 'lcModelFunFEM'
converged(object, ...)
object |
The |
... |
Not used. |
method |
An object inheriting from |
data |
A |
envir |
The |
verbose |
A R.utils::Verbose object indicating the level of verbosity. |
clusters |
Optional cluster assignments per id. If unspecified, a |
newdata |
A |
cluster |
The cluster name (as |
what |
The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying |
approxFun |
Function to interpolate between measurement moments, approx() by default. |
lcMethodFunFEM funFEM-package
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