KMQuant: Estimate Quantiles using Kaplan-Meier Product Limit Estimator
In nillen0/SurvBART: BART for Survival Analysis
Description
Estimates quantiles of a survival function using the Kaplan-Meier Product
Limit Estimator. Returns a matrix of point estimates of the quantiles
along with confidence intervals.
Usage
1
KMQuant(Times, Event, Quantiles, Predictors = 1, ConfLevel)
Arguments
Times
Observed times of event or right-censoring
Event
Indicator of whether a unit is observed (1) or censored(0)
Quantiles
The quantiles we wish to estimate
Predictors
Categorical predictor variable
ConfLevel
The confidence level for the quantile confidence
interval
nillen0/SurvBART documentation built on June 3, 2019, 6:58 p.m.
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Description
Estimates quantiles of a survival function using the Kaplan-Meier Product Limit Estimator. Returns a matrix of point estimates of the quantiles along with confidence intervals.
Usage
1 | KMQuant(Times, Event, Quantiles, Predictors = 1, ConfLevel)
|
Arguments
Times |
Observed times of event or right-censoring |
Event |
Indicator of whether a unit is observed (1) or censored(0) |
Quantiles |
The quantiles we wish to estimate |
Predictors |
Categorical predictor variable |
ConfLevel |
The confidence level for the quantile confidence interval |
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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