param_scale: Scale parameter computation
In survmixer: Design of Clinical Trials with Survival Endpoints Based on Binary Responses
Description
Usage
Arguments
Value
Note
Author(s)
Description
returns the value of the scale parameter a given the survival (s) at time t
Usage
1
param_scale(s, t, shape = 1)
Arguments
s
survival rate at time t
t
time at which the survival distribution is evaluated
shape
shape parameter for the Weibull distribution
Value
Variance computation
Note
Weibull parametrization: S(x) = exp(- (x/a)^b)
Author(s)
Marta Bofill Roig
survmixer documentation built on March 31, 2021, 9:08 a.m.
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Description Usage Arguments Value Note Author(s)
Description
returns the value of the scale parameter a given the survival (s) at time t
Usage
1 | param_scale(s, t, shape = 1)
|
Arguments
s |
survival rate at time t |
t |
time at which the survival distribution is evaluated |
shape |
shape parameter for the Weibull distribution |
Value
Variance computation
Note
Weibull parametrization: S(x) = exp(- (x/a)^b)
Author(s)
Marta Bofill Roig
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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