predict-ConstrainedLinReg-method: Compute predictions from constraint estimation model
In BMSC: Bayesian Model Selection under Constraints
Description
Usage
Arguments
Value
Description
Computes prediction from model of class
ConstrainedLinReg and a data.frame.
Usage
1
2
## S4 method for signature 'ConstrainedLinReg'
predict(object, newdata)
Arguments
object
Model of class ConstrainedLinReg
newdata
data.frame containing all variables that appear in the model
formula
Value
Numeric vector of predictions. For observations with missing
values on the explanatory variables, a prediction of NA is returned.
BMSC documentation built on Aug. 2, 2019, 5:05 p.m.
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.
Description Usage Arguments Value
Description
Computes prediction from model of class
ConstrainedLinReg and a data.frame.
Usage
1 2 | ## S4 method for signature 'ConstrainedLinReg'
predict(object, newdata)
|
Arguments
object |
Model of class |
newdata |
data.frame containing all variables that appear in the model formula |
Value
Numeric vector of predictions. For observations with missing
values on the explanatory variables, a prediction of NA 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.