posterior_probs: Computes posterior probabilities via Bayes Theorem under...
In sparsediscrim: Sparse and Regularized Discriminant Analysis
Description
Usage
Arguments
Value
Description
Computes posterior probabilities via Bayes Theorem under normality
Usage
1
posterior_probs(x, means, covs, priors)
Arguments
x
matrix of observations
means
list of means for each class
covs
list of covariance matrices for each class
priors
list of prior probabilities for each class
Value
matrix of posterior probabilities for each observation
sparsediscrim documentation built on July 1, 2021, 9:07 a.m.
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Description Usage Arguments Value
Description
Computes posterior probabilities via Bayes Theorem under normality
Usage
1 | posterior_probs(x, means, covs, priors)
|
Arguments
x |
matrix of observations |
means |
list of means for each class |
covs |
list of covariance matrices for each class |
priors |
list of prior probabilities for each class |
Value
matrix of posterior probabilities for each observation
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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