weimle1: Fit Weibull distribution parameters using MLE
In reconstructKM: Reconstruct Individual-Level Data from Published KM Plots
weimle1 R Documentation
Fit Weibull distribution parameters using MLE
Description
Fit the shape and scale parameters for a Weibull distribution
to the time-to-event data using MLE.
Usage
weimle1(time, status)
Arguments
time
A vector of event times
status
A vector of 0-1 censoring status, 0 for censored, 1 for observed
Value
A list including out (the return from mle()), shape, and scale
Examples
time <- rexp(100)
status <- rbinom(n=100, size=1, prob=0.5)
weimle1(time=time, status=status)
reconstructKM documentation built on Dec. 3, 2025, 5:06 p.m.
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| weimle1 | R Documentation |
Fit Weibull distribution parameters using MLE
Description
Fit the shape and scale parameters for a Weibull distribution to the time-to-event data using MLE.
Usage
weimle1(time, status)
Arguments
time |
A vector of event times |
status |
A vector of 0-1 censoring status, 0 for censored, 1 for observed |
Value
A list including out (the return from mle()), shape, and scale
Examples
time <- rexp(100)
status <- rbinom(n=100, size=1, prob=0.5)
weimle1(time=time, status=status)
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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