bayes.rule: Bayes rule for estimating posteriors.
In mdelhey/plda: poisson discriminant analysis
Description
Bayes rule for estimating posteriors.
Usage
1
bayes.rule(X, densities, pi, type = c("sum", "prod"))
Arguments
X
Matrix of predictors.
type
Calculate posteriors using raw products of probabilities or summation of logs of
probabilities? "Sum" may offer superior floating point accuracy.
mdelhey/plda documentation built on May 22, 2019, 3:24 p.m.
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Description
Bayes rule for estimating posteriors.
Usage
1 | bayes.rule(X, densities, pi, type = c("sum", "prod"))
|
Arguments
X |
Matrix of predictors. |
type |
Calculate posteriors using raw products of probabilities or summation of logs of probabilities? "Sum" may offer superior floating point accuracy. |
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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