predictProbabilities: Create predictive probabilities
In ted9219/CoDImputationHeart: Cause of death imputation package
Description
Usage
Arguments
Details
Value
Description
Create predictive probabilities
Usage
1
predictProbabilities(predictiveModel, population, covariateData)
Arguments
predictiveModel
An object of type predictiveModel as generated using
fitPlp.
population
The population to calculate the prediction for
covariates
The covariate part of PlpData containing the covariates for the population
Details
Generates predictions for the population specified in plpData given the model.
Value
The value column in the result data.frame is: logistic: probabilities of the outcome, poisson:
Poisson rate (per day) of the outome, survival: hazard rate (per day) of the outcome.
ted9219/CoDImputationHeart documentation built on Sept. 15, 2020, 11:30 a.m.
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Description Usage Arguments Details Value
Description
Create predictive probabilities
Usage
1 | predictProbabilities(predictiveModel, population, covariateData)
|
Arguments
predictiveModel |
An object of type |
population |
The population to calculate the prediction for |
covariates |
The covariate part of PlpData containing the covariates for the population |
Details
Generates predictions for the population specified in plpData given the model.
Value
The value column in the result data.frame is: logistic: probabilities of the outcome, poisson: Poisson rate (per day) of the outome, survival: hazard rate (per day) of the outcome.
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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