Man pages for group-wine/sommelieR
Fitting Linear, Multinomial, and Partial Proportional Odds Models to Predict Wine Quality
| cmPlot | Visualize a Confusion Matrix (ggplot) |
| data_to_mulitnomial | Reformats dataframe to multinomial regression form |
| fit_multinomial_regression | Fits multinomial regression through 'optimx' |
| generate.multinomial | A function to create an n x j matrix of outcomes where the... |
| linear.mod | A function to run linear regression |
| maximize.partial.prop.odds.ll | A function to maximize the partial proportional odds model... |
| multinomial_log_likelihood | Computes the log likelihood for multinomial regression |
| partial.prop.odds.ll | A function to return the log likelihood for a partial... |
| partial.prop.odds.mod | Run partial proportional odds models for ordinal outcomes |
| predict_multinomial | A function to do prediction with multinomial regression... |
| predict.partial.prop.odds | A function to predict probabilities for each level of an... |
| red_test | Testing dataset of quality ratings for red wine |
| red_train | Training dataset of quality ratings for red wine |
| white_test | Testing dataset of quality ratings for white wine |
| white_train | Training dataset of quality ratings for white wine |
