np_calibrate: Nonparametric calibration step for predicting
In shiandy/bst235project:
Description
Usage
Arguments
Details
Value
Description
Nonparametric calibration step for predicting the mean
Usage
1
np_calibrate(new_xs, xs, ys, glmnet_obj, bandwidth)
Arguments
new_xs
Matrix of new predictors
xs
Matrix of old predictors
ys
Vector of old observed values
glmnet_obj
A glmnet object for which there is a predict method
Details
The formula in the assignment does not include intercepts, but we do
include the intercepts here by using the predict function.
However, because the intercepts will be the same, after subtraction
they cancel out.
Value
Nonparametrically calibrated predicted means.
shiandy/bst235project documentation built on May 14, 2019, 2:01 a.m.
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Description Usage Arguments Details Value
Description
Nonparametric calibration step for predicting the mean
Usage
1 | np_calibrate(new_xs, xs, ys, glmnet_obj, bandwidth)
|
Arguments
new_xs |
Matrix of new predictors |
xs |
Matrix of old predictors |
ys |
Vector of old observed values |
glmnet_obj |
A glmnet object for which there is a predict method |
Details
The formula in the assignment does not include intercepts, but we do
include the intercepts here by using the predict function.
However, because the intercepts will be the same, after subtraction
they cancel out.
Value
Nonparametrically calibrated predicted means.
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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