getProbForDiscrete: Get a probability of a discrete value.
In mmb: Arbitrary Dependency Mixed Multivariate Bayesian Models
Description
Usage
Arguments
Value
Note
Author(s)
Examples
Description
Similar to @seealso estimatePdf, this function returns
the probability for a discrete value, given some observations.
Usage
1
getProbForDiscrete(data, value)
Arguments
data
vector of observations that have the same type as the given value.
value
a single observation of the same type as the data vector.
Value
the probability of value given data.
Note
If no observations are given, then this function will warn and return
a probability of zero for the value given. While we could technically return
positive infinity, 0 is more suitable in the context of Bayesian inferencing.
Author(s)
Sebastian Hönel sebastian.honel@lnu.se
Examples
1
2
mmb::getProbForDiscrete(data = c(), value = iris[1,]$Species)
mmb::getProbForDiscrete(data = iris$Species, value = iris[1,]$Species)
mmb documentation built on Oct. 23, 2020, 5:21 p.m.
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Description Usage Arguments Value Note Author(s) Examples
Description
Similar to @seealso estimatePdf, this function returns
the probability for a discrete value, given some observations.
Usage
1 | getProbForDiscrete(data, value)
|
Arguments
data |
vector of observations that have the same type as the given value. |
value |
a single observation of the same type as the data vector. |
Value
the probability of value given data.
Note
If no observations are given, then this function will warn and return a probability of zero for the value given. While we could technically return positive infinity, 0 is more suitable in the context of Bayesian inferencing.
Author(s)
Sebastian Hönel sebastian.honel@lnu.se
Examples
1 2 | mmb::getProbForDiscrete(data = c(), value = iris[1,]$Species)
mmb::getProbForDiscrete(data = iris$Species, value = iris[1,]$Species)
|
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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