simulate_cdf: Inverse Tranform Sampling
In SynthETIC: Synthetic Experience Tracking Insurance Claims
simulate_cdf R Documentation
Inverse Tranform Sampling
Description
Generates sample numbers at random from any probability distribution
given its cumulative distribution function. Pre-defined distribution
functions such as pnorm are supported.
See here
for the algorithm.
Usage
simulate_cdf(n, cdf, range = c(-1e+200, 1e+200), ...)
Arguments
n
number of observations.
cdf
cumulative distribution function to be sampled from.
range
support of the given cdf.
...
other arguments/parameters to be passed onto cdf.
Examples
simulate_cdf(10, pnorm)
simulate_cdf(10, pbeta, shape1 = 2, shape2 = 2)
SynthETIC documentation built on May 29, 2024, 8:47 a.m.
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| simulate_cdf | R Documentation |
Inverse Tranform Sampling
Description
Generates sample numbers at random from any probability distribution
given its cumulative distribution function. Pre-defined distribution
functions such as pnorm are supported.
See here
for the algorithm.
Usage
simulate_cdf(n, cdf, range = c(-1e+200, 1e+200), ...)
Arguments
n |
number of observations. |
cdf |
cumulative distribution function to be sampled from. |
range |
support of the given |
... |
other arguments/parameters to be passed onto |
Examples
simulate_cdf(10, pnorm)
simulate_cdf(10, pbeta, shape1 = 2, shape2 = 2)
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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