predict.kclass: Predict values based on a fitted kclass model
In potterzot/rkclass: K-class regressions (Two-Stage Least Squares, LIML, Fuller)
Description
Usage
Arguments
Value
Description
Generates a vector of outcome predictions based on new regressor data. The
new data must be a data frame or matrix with the same number of columns as
coefficients in the model.
Usage
1
2
Arguments
object
a model object of class 'kclass'.
newdata
a data frame or vector. If no data is submitted, the original
fitted values are returned.
Value
a vector of predicted values.
potterzot/rkclass documentation built on May 25, 2019, 11:24 a.m.
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Description Usage Arguments Value
Description
Generates a vector of outcome predictions based on new regressor data. The new data must be a data frame or matrix with the same number of columns as coefficients in the model.
Usage
1 2 |
Arguments
object |
a model object of class 'kclass'. |
newdata |
a data frame or vector. If no data is submitted, the original fitted values are returned. |
Value
a vector of predicted values.
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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