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bbl (Boltzmann Bayes Learner)

  • Boltzmann Bayes learning extends naive Bayes learner to include interactions between predictors
  • bbl provides supervised learning implementations with training and prediction methods
  • Latest release available at CRAN

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Version

Install

install.packages('bbl')

Monthly Downloads

315

Version

1.0.0

License

GPL (>= 2)

Maintainer

Jun Woo

Last Published

January 27th, 2022

Functions in bbl (1.0.0)

logLik.bbl

Log likelihood for bbl object
freq2raw

Convert Frequency Table into Raw Data
bbl

Boltzmann Bayes Learning Inference
mlestimate

Maximum likelihood estimate
formula.bbl

Formula in BBL Fitting
mcSample

Sample Predictor Distributions
crossVal

Cross-Validation of BB Learning
bbl.fit

bbl Inference with model matrix
model.frame.bbl

Model Frame for BBL
fitted.bbl

Fitted Response Group Probabilities
print.cv.bbl

Display Cross-validation Result
print.summary.bbl

Print Summary of Boltzmann Bayes Learning
predict.bbl

Predict Response Group Using bbl Model
sample_xi

Generate Random Samples from Boltzmann Distribution
plot.cv.bbl

Plot Cross-validation Outcome
residuals.bbl

Residuals of BBL fit
print.bbl

Print Boltzmann Bayes Learning Fits
predict.cv.bbl

Predict using Cross-validation Object
randomsamp

Generate Random Boltzmann Bayes Model Data
randompar

Generate Random Parameters
weights.bbl

Weights in BBL Fit
summary.bbl

Naive Bayes Summary
plot.bbl

Plot bbl object
nobs.bbl

Number of Observations in BBL Fit
readFasta

Read FASTA File
removeConst

Remove Non-varying Predictors