ea_phi_uniGaussian_DL: phi-function for tempered Gaussian distribution
In rchan26/hierarchicalFusion: Divide-and-Conquer Monte Carlo Fusion
ea_phi_uniGaussian_DL R Documentation
phi-function for tempered Gaussian distribution
Description
phi-function for the Exact Algorithm for tempered Gaussian distribution
Usage
ea_phi_uniGaussian_DL(x, mean, sd, beta, precondition)
Arguments
x
real value
mean
mean value
sd
standard deviation value
beta
real value
precondition
precondition value
Value
real value
Examples
curve(ea_phi_uniGaussian_DL(x, 0, 1, 1, 1), from = -4, to = 4)
rchan26/hierarchicalFusion documentation built on Sept. 11, 2022, 10:30 p.m.
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.
| ea_phi_uniGaussian_DL | R Documentation |
phi-function for tempered Gaussian distribution
Description
phi-function for the Exact Algorithm for tempered Gaussian distribution
Usage
ea_phi_uniGaussian_DL(x, mean, sd, beta, precondition)
Arguments
x |
real value |
mean |
mean value |
sd |
standard deviation value |
beta |
real value |
precondition |
precondition value |
Value
real value
Examples
curve(ea_phi_uniGaussian_DL(x, 0, 1, 1, 1), from = -4, to = 4)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.