IPCweights: Inverse Probability of Censoring Weights
In mboost: Model-Based Boosting
IPCweights R Documentation
Inverse Probability of Censoring Weights
Description
Compute weights for censored regression via the inverted
probability of censoring principle.
Usage
IPCweights(x, maxweight = 5)
Arguments
x
an object of class Surv.
maxweight
the maximal value of the returned weights.
Details
Inverse probability of censoring weights are one possibility to fit
models formulated in the full data world in the presence of censoring,
i.e., the observed data world \bibcitepmboost::Laan_Robins_2003, see
\bibcitetmboost::Hothorn:2006:Biostatistics:16344280 for an application to
survival analysis.
Value
A vector of numeric weights.
References
\bibshow*
mboost documentation built on July 15, 2026, 5:06 p.m.
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| IPCweights | R Documentation |
Inverse Probability of Censoring Weights
Description
Compute weights for censored regression via the inverted probability of censoring principle.
Usage
IPCweights(x, maxweight = 5)
Arguments
x |
an object of class |
maxweight |
the maximal value of the returned weights. |
Details
Inverse probability of censoring weights are one possibility to fit models formulated in the full data world in the presence of censoring, i.e., the observed data world \bibcitepmboost::Laan_Robins_2003, see \bibcitetmboost::Hothorn:2006:Biostatistics:16344280 for an application to survival analysis.
Value
A vector of numeric weights.
References
\bibshow*
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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