predict_slim: Prediction from new dataset
In bomarkussen/probit: Item response analysis with random effects.
Description
Usage
Arguments
Details
Value
Note
Description
Predictions from a linear model.
Usage
1
predict_slim(object, newdata)
Arguments
object
of clasee lm or biglm.
newdata
data frame on which predictions should be made.
Details
A slim implementation of predictions from a linear model
on a new dataset. This is made in replacement of predict
and predict.bigglm, which do not work on
biglm-objects or does not include a possible
offset, respectively.
Value
vector with predictions.
Note
The implementation uses biglm:::coef.biglm as this function
is not exported from the biglm-package.
bomarkussen/probit documentation built on April 3, 2021, 7:38 p.m.
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Description Usage Arguments Details Value Note
Description
Predictions from a linear model.
Usage
1 | predict_slim(object, newdata)
|
Arguments
object |
of clasee |
newdata |
data frame on which predictions should be made. |
Details
A slim implementation of predictions from a linear model
on a new dataset. This is made in replacement of predict
and predict.bigglm, which do not work on
biglm-objects or does not include a possible
offset, respectively.
Value
vector with predictions.
Note
The implementation uses biglm:::coef.biglm as this function
is not exported from the biglm-package.
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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