predict.gpcr: Predict Method for gpcr Fits
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
Description
Predict Method for gpcr Fits
Usage
1
2
Arguments
fit
a fitted object of class "gpcr"
newdata
optionally, a data frame in which to look for variables with
which to predict. If omitted, the fitted linear predictors are used.
type
the type of prediction required. the default is on the scale
of the linear predictors; the alternative "response" is on the scale of
the response variable. Thus for a default binomial model the default
predictions are of log-odds (probabilities on logit scale) and
type = "response" gives the predicted probabilities.
Value
a vector of predictions
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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Description Usage Arguments Value
Description
Predict Method for gpcr Fits
Usage
1 2 |
Arguments
fit |
a fitted object of class "gpcr" |
newdata |
optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted linear predictors are used. |
type |
the type of prediction required. the default is on the scale of the linear predictors; the alternative "response" is on the scale of the response variable. Thus for a default binomial model the default predictions are of log-odds (probabilities on logit scale) and type = "response" gives the predicted probabilities. |
Value
a vector of predictions
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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