PropensityWeights: Compute the Propensity Weight scores for a binary...
In Displayr/flipMultivariates: Multivariate models
PropensityWeights R Documentation
Compute the Propensity Weight scores for a binary classification model
Description
Computes the propensity weights from a binary classification model
using the inverse predicted probabilities of each observation being in the
positive class.
Usage
PropensityWeights(object)
Arguments
object
A Regression or MachineLearning output.
Value
A vector of numeric propensity weights for each case in the model.
Displayr/flipMultivariates documentation built on Feb. 26, 2024, 12:39 a.m.
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| PropensityWeights | R Documentation |
Compute the Propensity Weight scores for a binary classification model
Description
Computes the propensity weights from a binary classification model using the inverse predicted probabilities of each observation being in the positive class.
Usage
PropensityWeights(object)
Arguments
object |
A |
Value
A vector of numeric propensity weights for each case in the model.
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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