Predict.ER: Prediction under Essential Regression
In bingx1990/LoveER: Latent-model based overlapping clustering and essential regression
Description
Predict either the response or the latent factors under Essential Regression.
Usage
1
Predict.ER(fitted_ER, newX = NULL, type = "response")
Arguments
fitted_ER
The object returned from ER.
newX
A new data matrix of X. If not provided, the fitted values of
either Y or Z are returned, depending on type.
type
Either "response" or "factor". For "response", predicted values of
Y are returned. For "factor", predicted Z is returned.
bingx1990/LoveER documentation built on Jan. 17, 2022, 12:04 p.m.
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Description
Predict either the response or the latent factors under Essential Regression.
Usage
1 | Predict.ER(fitted_ER, newX = NULL, type = "response")
|
Arguments
fitted_ER |
The object returned from |
newX |
A new data matrix of X. If not provided, the fitted values of
either Y or Z are returned, depending on |
type |
Either "response" or "factor". For "response", predicted values of Y are returned. For "factor", predicted Z is returned. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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