bernoullinb.pred: Prediction with naive Bayes classifier for binary (Bernoulli)...
In Rfast2: A Collection of Efficient and Extremely Fast R Functions II
View source: R/naive.bayes.classifiers.R
Prediction with naive Bayes classifier for binary (Bernoulli) data R Documentation
Prediction with naive Bayes classifier for binary (Bernoulli) data
Description
Prediction with naive Bayes classifier for binary (Bernoulli) data.
Usage
bernoullinb.pred(xnew, pi, ni)
Arguments
xnew
A numerical matrix with new predictor variables whose group is to be predicted.
Each column refers to an angular variable.
pi
A matrix with the estimated probabilities of each group.
ni
The sample size of each group in the dataset.
Details
Each column is supposed to contain binary data. Thus, for each column a Berboulli distributions
is fitted. The product of the densities is the joint multivariate distribution.
Value
A numerical vector with 1, 2, ... denoting the predicted group.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
See Also
bernoulli.nb, nb.cv
Examples
x <- matrix( rbinom(50 * 4, 1, 0.5), ncol = 4 )
ina <- rbinom(50, 1, 0.5) + 1
a <- bernoulli.nb(x, x, ina)
Rfast2 documentation built on May 29, 2024, 8:45 a.m.
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View source: R/naive.bayes.classifiers.R
| Prediction with naive Bayes classifier for binary (Bernoulli) data | R Documentation |
Prediction with naive Bayes classifier for binary (Bernoulli) data
Description
Prediction with naive Bayes classifier for binary (Bernoulli) data.
Usage
bernoullinb.pred(xnew, pi, ni)
Arguments
xnew |
A numerical matrix with new predictor variables whose group is to be predicted. Each column refers to an angular variable. |
pi |
A matrix with the estimated probabilities of each group. |
ni |
The sample size of each group in the dataset. |
Details
Each column is supposed to contain binary data. Thus, for each column a Berboulli distributions is fitted. The product of the densities is the joint multivariate distribution.
Value
A numerical vector with 1, 2, ... denoting the predicted group.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
See Also
bernoulli.nb, nb.cv
Examples
x <- matrix( rbinom(50 * 4, 1, 0.5), ncol = 4 )
ina <- rbinom(50, 1, 0.5) + 1
a <- bernoulli.nb(x, x, ina)
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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