rGamma: Simulation from the Gamma Distribution
In Temporal: Parametric Time to Event Analysis
rGamma R Documentation
Simulation from the Gamma Distribution
Description
Generates gamma event times with shape parameter \alpha and rate
parameter \lambda. See FitGamma for the parameterization. If
a censoring proportion p is provided, the event times are subject to
non-informative random right censoring.
Usage
rGamma(n, a = 1, l = 1, p = 0)
Arguments
n
Sample size.
a
Shape.
l
Rate.
p
Expected censoring proportion.
Value
Data.frame including the observation times and status.
Temporal documentation built on Sept. 24, 2023, 1:06 a.m.
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| rGamma | R Documentation |
Simulation from the Gamma Distribution
Description
Generates gamma event times with shape parameter \alpha and rate
parameter \lambda. See FitGamma for the parameterization. If
a censoring proportion p is provided, the event times are subject to
non-informative random right censoring.
Usage
rGamma(n, a = 1, l = 1, p = 0)
Arguments
n |
Sample size. |
a |
Shape. |
l |
Rate. |
p |
Expected censoring proportion. |
Value
Data.frame including the observation times and 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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