StratifiedModel: R6 class for fitting and predicting with several stratified...
In stremr: Streamlined Estimation of Survival for Static, Dynamic and Stochastic Treatment and Monitoring Regimes
Description
Usage
Format
Details
Methods
Active Bindings
Description
This R6 class defines and fits a conditional probability model P(A[j]|W,...) for a summary A[j].
This class inherits from GenericModel class.
The stratification criteria is determined by the R expression in the field subset_exprs.
Usage
1
Format
An R6Class generator object
Details
reg - .
outvar - .
subset_exprs - .
Methods
new(reg, DataStorageClass.g0, ...)...
fit(data)...
predict(newdata)...
predictAeqa(newdata)...
Active Bindings
cats...
stremr documentation built on May 30, 2017, 6:35 a.m.
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Description Usage Format Details Methods Active Bindings
Description
This R6 class defines and fits a conditional probability model P(A[j]|W,...) for a summary A[j].
This class inherits from GenericModel class.
The stratification criteria is determined by the R expression in the field subset_exprs.
Usage
1 |
Format
An R6Class generator object
Details
reg- .outvar- .subset_exprs- .
Methods
new(reg, DataStorageClass.g0, ...)...
fit(data)...
predict(newdata)...
predictAeqa(newdata)...
Active Bindings
cats...
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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