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