interface-mixAK | R Documentation |
mixAK interface
## S4 method for signature 'lcMethodMixAK_GLMM'
getArgumentDefaults(object)
## S4 method for signature 'lcMethodMixAK_GLMM'
getArgumentExclusions(object)
## S4 method for signature 'lcMethodMixAK_GLMM'
getCitation(object, ...)
## S4 method for signature 'lcMethodMixAK_GLMM'
getName(object)
## S4 method for signature 'lcMethodMixAK_GLMM'
getShortName(object)
## S4 method for signature 'lcMethodMixAK_GLMM'
responseVariable(object)
## S4 method for signature 'lcMethodMixAK_GLMM'
preFit(method, data, envir, verbose, ...)
## S4 method for signature 'lcMethodMixAK_GLMM'
fit(method, data, envir, verbose, ...)
## S4 method for signature 'lcModelMixAK_GLMM'
postprob(object, ...)
## S4 method for signature 'lcModelMixAK_GLMM'
predictForCluster(object, newdata, cluster, what = "mu", ...)
## S4 method for signature 'lcModelMixAK_GLMM'
predictForCluster(object, newdata, cluster, what = "mu", ...)
## S3 method for class 'lcModelMixAK_GLMM'
coef(object, ..., stat = "Mean")
## S3 method for class 'lcModelMixAK_GLMM'
deviance(object, ...)
## S4 method for signature 'lcModelMixAK_GLMMlist'
postprob(object, ...)
## S4 method for signature 'lcModelMixAK_GLMMlist'
predictForCluster(object, newdata, cluster, what = "mu", ...)
object |
The object. |
... |
Not used. |
method |
An object inheriting from |
data |
A |
envir |
The |
verbose |
A R.utils::Verbose object indicating the level of verbosity. |
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 |
stat |
The aggregate statistic to extract. The mean is used by default. |
lcMethodMixAK_GLMM mixAK::GLMM_MCMC
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.