Description Usage Arguments Details Value
Return the full range of predicted values that can be computed from the model when the responses are available for the prediction data set.
1 2 |
object |
An object of class |
type |
Whether to return the posterior means or samples from the posterior. |
data |
A dataframe for which predictions are required |
standardize |
Whether to standardize the residuals. |
... |
Currently unused. |
This function returns the predicted values that are conditional only on the responses for the data to which the model is fitted:
the predicted values for the two component linear models
the posterior predictive probability p of membership of the second component
together with the predicted values conditional on the responses from both the data to which the model is fitted, and the prediction data set:
the residuals or prediction error given the observed response in the prediction data
the posterior probability q of membership of the second component,
The posterior predictive probability p predicts the probability that a new response will be drawn from the second component, the posterior probability q predicts the probability that the observed response was drawn from the second component.
If type="mean"
the function returns posterior means as a
dataframe, otherwise it returns samples from the posterior as a
list of arrays.
Returns a list or dataframe with elements
|
vector of responses from data |
|
predicted values for the first component model |
|
predicted values for the second component model |
|
residuals for the first component model |
|
residuals for the second component model |
|
posterior predictive probabilities of membership of the second component |
|
posterior probabilities of membership of the second component |
If type="mean"
return a dataframe of posterior means is
returned, and if type="samples"
return a list of arrays of
samples from the posterior.
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