survival_prob_km: Calculates survival probability estimated by Kaplan-Meier...
In survcompare: Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, Survival Random Forests
survival_prob_km R Documentation
Calculates survival probability estimated by Kaplan-Meier survival curve
Uses polynomial extrapolation in survival function space, using poly(n=3)
Description
Calculates survival probability estimated by Kaplan-Meier survival curve
Uses polynomial extrapolation in survival function space, using poly(n=3)
Usage
survival_prob_km(df_km_train, times, estimate_censoring = FALSE)
Arguments
df_km_train
event probabilities (!not survival)
times
times at which survival is estimated
estimate_censoring
FALSE by default, if TRUE, event and censoring are reversed (for IPCW calculations)
Value
vector of survival probabilities for time_point
survcompare documentation built on June 25, 2025, 5:09 p.m.
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| survival_prob_km | R Documentation |
Calculates survival probability estimated by Kaplan-Meier survival curve Uses polynomial extrapolation in survival function space, using poly(n=3)
Description
Calculates survival probability estimated by Kaplan-Meier survival curve Uses polynomial extrapolation in survival function space, using poly(n=3)
Usage
survival_prob_km(df_km_train, times, estimate_censoring = FALSE)
Arguments
df_km_train |
event probabilities (!not survival) |
times |
times at which survival is estimated |
estimate_censoring |
FALSE by default, if TRUE, event and censoring are reversed (for IPCW calculations) |
Value
vector of survival probabilities for time_point
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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