intercept_IF_model: S3 class for predictive models with an intercept only and...
In QIU-Hongxiang-David/SDRsurv: Sequentially Doubly Robust Estimation of Survival Curve with Time-Varying Covariates
intercept_IF_model R Documentation
S3 class for predictive models with an intercept only and influence function information
Description
S3 class for predictive models with an intercept only and influence function information
Usage
intercept_IF_model(value, IF)
Arguments
value
the predicted mean value
IF
named vector of influence function in one time window evaluated at each observation. The name corresponds to each observation's id. Used to calculate standard error and confidence interval for SDR estimator of a scalar estimand (rather than a function).
Value
an "intercept_IF_model" object, essentially a list with element value and IF.
QIU-Hongxiang-David/SDRsurv documentation built on March 29, 2024, 8:41 a.m.
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| intercept_IF_model | R Documentation |
S3 class for predictive models with an intercept only and influence function information
Description
S3 class for predictive models with an intercept only and influence function information
Usage
intercept_IF_model(value, IF)
Arguments
value |
the predicted mean value |
IF |
named vector of influence function in one time window evaluated at each observation. The name corresponds to each observation's id. Used to calculate standard error and confidence interval for SDR estimator of a scalar estimand (rather than a function). |
Value
an "intercept_IF_model" object, essentially a list with element value and IF.
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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