ars: Perform Adaptive Rejection Sampling
In bsearchinger/ARS: Adaptive Rejection Sampling
Description
Usage
Arguments
Value
View source: R/modular_functions.R
Description
ars calculates a given number of n random samples
from a given density f, initialized at the given abscissae
x_abs.
Usage
1
Arguments
n
The number of samples to return
x_abs
A numeric vector of length k for k > 1,
representing the abscissae.
f
A function representing the target sampling distribution.
f_params
A list of any associated parameters of f.
supp
The support of f, as a two-membered numeric vector.
Default is c(-Inf, Inf)
Value
A named list containing vals: the collection of n
samples, k: the count of abscissae added, i: the total number
of samples attempted, and m: the amount of rejected samples.
bsearchinger/ARS documentation built on Dec. 19, 2021, 12:44 p.m.
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Description Usage Arguments Value
View source: R/modular_functions.R
Description
ars calculates a given number of n random samples
from a given density f, initialized at the given abscissae
x_abs.
Usage
1 |
Arguments
n |
The number of samples to return |
x_abs |
A |
f |
A function representing the target sampling distribution. |
f_params |
A |
supp |
The support of |
Value
A named list containing vals: the collection of n
samples, k: the count of abscissae added, i: the total number
of samples attempted, and m: the amount of rejected samples.
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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