initialization_step: Initialize Step
In vdchoi/ars: Adaptive Rejection Sampler
Description
Usage
Arguments
Value
Description
Initialize the data structure we maintain given the log density function h as input,
as described in 2.2.1.
We calculate the initial abscissa, h(x) vector, h'(x) vector,
and z vector needed for further computation
Usage
1
initialization_step(h, a, b)
Arguments
h
log density function
a
lower bound of function domain D (could be -Inf)
b
upper bound of function domain D (could be Inf)
Value
a list, the main data structure we will work with, containing
x, h(x), d'(x), z, and other information
vdchoi/ars documentation built on Jan. 1, 2021, 12:36 p.m.
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Description Usage Arguments Value
Description
Initialize the data structure we maintain given the log density function h as input, as described in 2.2.1. We calculate the initial abscissa, h(x) vector, h'(x) vector, and z vector needed for further computation
Usage
1 | initialization_step(h, a, b)
|
Arguments
h |
log density function |
a |
lower bound of function domain D (could be -Inf) |
b |
upper bound of function domain D (could be Inf) |
Value
a list, the main data structure we will work with, containing x, h(x), d'(x), z, and other information
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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