boot_exponential: Parametric Bootstrap of time-to-event data following an...
In EquiSurv: Modeling, Confidence Intervals and Equivalence of Survival Curves
Description
Usage
Arguments
Value
Examples
View source: R/boot_exponential.R
Description
Function generating bootstrap data according to an exponential distribution (specified by a model parameter θ),
assuming exponentially distributed right-censoring (specified by a rate C). After data generation again a model is fitted and evaluated
at a pre-specified time point t_0 yielding the response vector.
Usage
1
boot_exponential(t0, B = 1000, theta, C, N)
Arguments
t0
time point of interest
B
number of bootstrap repetitions. The default is B=1000
theta
parameter of the exponential distribution, theta=rate
C
rate of the exponential distribution specifiying the censoring
N
size of the dataset = number of observations
Value
A vector of length B containing the estimated survival at t0
Examples
1
2
3
4
t0<-2
N<-30
C<-1
boot_exponential(t0=t0,theta=1,C=C,N=N)
EquiSurv documentation built on Oct. 23, 2020, 6:43 p.m.
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.
Description Usage Arguments Value Examples
View source: R/boot_exponential.R
Description
Function generating bootstrap data according to an exponential distribution (specified by a model parameter θ), assuming exponentially distributed right-censoring (specified by a rate C). After data generation again a model is fitted and evaluated at a pre-specified time point t_0 yielding the response vector.
Usage
1 | boot_exponential(t0, B = 1000, theta, C, N)
|
Arguments
t0 |
time point of interest |
B |
number of bootstrap repetitions. The default is B=1000 |
theta |
parameter of the exponential distribution, theta=rate |
C |
rate of the exponential distribution specifiying the censoring |
N |
size of the dataset = number of observations |
Value
A vector of length B containing the estimated survival at t0
Examples
1 2 3 4 | t0<-2
N<-30
C<-1
boot_exponential(t0=t0,theta=1,C=C,N=N)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.