rweibull2: Random generator for the truncated weibull distribution
In rmorsomme/PDSIR: Data-augmentation Marko chain Monte Carlo for Fitting the Stochastic SIR Model to Incidence Counts
View source: R/truncated_weibull.R
rweibull2 R Documentation
Random generator for the truncated weibull distribution
Description
shape and rate parameterization.
Usage
rweibull2(n, shape, lambda)
Arguments
n
number of random values to generate
shape
shape parameter
lambda
rate parameter
Value
vector of n random variables following a truncated weibull distribution
See Also
Other weibull2:
dweibull2_trunc_log(),
dweibull2(),
pweibull2(),
rweibull2_trunc()
rmorsomme/PDSIR documentation built on April 27, 2023, 2:56 p.m.
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View source: R/truncated_weibull.R
| rweibull2 | R Documentation |
Random generator for the truncated weibull distribution
Description
shape and rate parameterization.
Usage
rweibull2(n, shape, lambda)
Arguments
n |
number of random values to generate |
shape |
shape parameter |
lambda |
rate parameter |
Value
vector of n random variables following a truncated weibull distribution
See Also
Other weibull2:
dweibull2_trunc_log(),
dweibull2(),
pweibull2(),
rweibull2_trunc()
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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