pamr.confusion.survival: Compute confusin matrix from pamr survival fit
In pamr: Pam: Prediction Analysis for Microarrays
Description
Usage
Arguments
Author(s)
View source: R/pamr.survfuns.R
Description
computes confusion matrix for (survival.time,censoring) outcome
based on fit object "fit" and class predictions "yhat"
soft response probabilities for (survival.time,censoring) are first estimated
using Kaplan-Meier method applied to training data
Usage
1
pamr.confusion.survival(fit, survival.time, censoring.status, yhat)
Arguments
fit
The result of a call to pamr.train or pamr.cv
survival.time
Survival time
censoring.status
censoring status
yhat
class predictions
Author(s)
Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, and Gilbert Chu
pamr documentation built on May 2, 2019, 12:35 p.m.
R Package Documentation
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Description Usage Arguments Author(s)
View source: R/pamr.survfuns.R
Description
computes confusion matrix for (survival.time,censoring) outcome based on fit object "fit" and class predictions "yhat" soft response probabilities for (survival.time,censoring) are first estimated using Kaplan-Meier method applied to training data
Usage
1 | pamr.confusion.survival(fit, survival.time, censoring.status, yhat)
|
Arguments
fit |
The result of a call to pamr.train or pamr.cv |
survival.time |
Survival time |
censoring.status |
censoring status |
yhat |
class predictions |
Author(s)
Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, and Gilbert Chu
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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