Bayesian Classification with High-dimensional Gaussian Profiles

Documentation for package ‘gausspred’ version 1.0-0

assess_prediction	Functions for evaluating predictive probabilities given true values of response of test cases
cal_tab	Functions for evaluating predictive probabilities given true values of response of test cases
comp_amlp	Functions for evaluating predictive probabilities given true values of response of test cases
comp_er	Functions for evaluating predictive probabilities given true values of response of test cases
comp_loss	Functions for evaluating predictive probabilities given true values of response of test cases
crossvalid_gau	Training with Markov chain sampling, predicting for test cases, and evaluating performance with cross-validation
gen_bayesgau	Data generation and processing
order_features	Data generation and processing
predict_gau	Training with Markov chain sampling, predicting for test cases, and evaluating performance with cross-validation
training_gau	Training with Markov chain sampling, predicting for test cases, and evaluating performance with cross-validation
train_pred_gau	Training with Markov chain sampling, predicting for test cases, and evaluating performance with cross-validation