poisson_init: Initialize vectors for poisson probability functions
In ocp: Bayesian Online Changepoint Detection
Description
Usage
Arguments
Value
Description
Takes in the desired initialization parameters,
initializes the vectors needed for the poisson probability
function poisson_update
Usage
1
poisson_init(init_params = list(a = 1, b = 1), dims)
Arguments
init_params
The list of parameters to be used for
initialization
dims
the dimensionality of the data
Value
List of vectors to be used in the iteratively
updating algorithm of parameters describing the
underlying gaussian distribution of the data.
ocp documentation built on May 2, 2019, 3:46 a.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.
Description Usage Arguments Value
Description
Takes in the desired initialization parameters,
initializes the vectors needed for the poisson probability
function poisson_update
Usage
1 | poisson_init(init_params = list(a = 1, b = 1), dims)
|
Arguments
init_params |
The list of parameters to be used for initialization |
dims |
the dimensionality of the data |
Value
List of vectors to be used in the iteratively updating algorithm of parameters describing the underlying gaussian distribution of the data.
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.