nix2_classify: Classification function for Normal-Chi^-2 distributions
In kleinschmidt/beliefupdatr: Belief updating for phonetic adaptation
Description
Usage
Arguments
Value
Description
This computes the posterior probability of data under different Normal-Chi^-2
distributions.
Usage
1
nix2_classify(x, ps, category = 1:length(ps))
Arguments
x
Vector of points to classify
ps
List of category Norma-Chi^-2 params
category
(Optional) Which categories' posteriors to return. If
missing, all are returned
Value
A length(x)-by-category matrix of posterior probabilities
kleinschmidt/beliefupdatr documentation built on May 24, 2020, 8:26 p.m.
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Description Usage Arguments Value
Description
This computes the posterior probability of data under different Normal-Chi^-2 distributions.
Usage
1 | nix2_classify(x, ps, category = 1:length(ps))
|
Arguments
x |
Vector of points to classify |
ps |
List of category Norma-Chi^-2 params |
category |
(Optional) Which categories' posteriors to return. If missing, all are returned |
Value
A length(x)-by-category matrix of posterior probabilities
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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