R: Compute FAB (Frequentist and Bayes) Conformal Prediction Intervals

# Compute FAB (Frequentist and Bayes) Conformal Prediction Intervals

## Documentation for package ‘fabPrediction’ version 1.0.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

bayesMultinomialPrediction | Obtain a Bayesian prediction interval for categorical data
bayesNormalPrediction | Obtain a Bayesian prediction interval
dtaPrediction | Obtain a distance-to-average conformal prediction interval
eye | Create Identity Matrix
fabCategoricalPrediction | Obtain a FAB conformal prediction interval for categorical data
fabContinuousPrediction | Obtain a FAB conformal prediction interval
fabPrediction | fabPrediction: Compute FAB Conformal Prediction Intervals
fayHerriotEB | Obtain empirical Bayesian estimates for group j
initMoM | Obtain inital guess of MLE of the marginal Dirichlet-multinomial likelihood
normalPrediction | Obtain a pivot prediction interval
plot.pred | Plot a 'pred' object constructed for a categorical response
pluginValues | Obtain empirical Bayesian estimates for conjugate normal spatial Fay-Herriot model
polyaGradient | Obtain gradient of the marginal Dirichlet-multinomial likelihood
polyaHessian | Obtain Hessian of the marginal Dirichlet-multinomial likelihood
polyaMLE | Obtain MLE of marginal Dirichlet-multinomial likelihood
predictionInterval | Wrapper to obtain a prediction interval for continuous data
predictionSet | Wrapper to obtain a prediction set for categorical data
radon | Minnesota Radon Data
rdirichlet | Generate a random sample from a Dirichlet distribution
row_standardize | Row standardize a matrix
W | Minnesota County Adjacency Matrix