survival.quantiles: get survival quantiles
In linxihui/lazyML: Automatic machine learning algorithms and hyper-parameters selection
Description
Usage
Arguments
Value
View source: R/survival_misc.R
Description
Get survival quantiles from survival curves for each sample
Usage
1
2
survival.quantiles(surv.percentile = 0.5, prediction, times,
max.surv.time = max(times))
Arguments
surv.percentile
A vector of survival probabilities.
prediction
A matrix of survival probilites, with row = sample, col = time
times
A vector of times of interest
max.surv.time
Usually maximum follow-up time
Value
A matrix of survival quantitles (times), with row = sample, col = surv.percentile
linxihui/lazyML documentation built on May 21, 2019, 6:39 a.m.
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Description Usage Arguments Value
View source: R/survival_misc.R
Description
Get survival quantiles from survival curves for each sample
Usage
1 2 | survival.quantiles(surv.percentile = 0.5, prediction, times,
max.surv.time = max(times))
|
Arguments
surv.percentile |
A vector of survival probabilities. |
prediction |
A matrix of survival probilites, with row = sample, col = time |
times |
A vector of times of interest |
max.surv.time |
Usually maximum follow-up time |
Value
A matrix of survival quantitles (times), with row = sample, col = surv.percentile
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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