Man pages for tidyfit
Regularized Linear Modeling with Tidy Data
| classify | Classification on tidy data |
| coef.tidyfit.models | Extract coefficients from a 'tidyfit.models' frame |
| dot-fit.adalasso | Adaptive Lasso regression or classification for 'tidyfit' |
| dot-fit.anova | ANOVA for 'tidyfit' |
| dot-fit.bayes | Bayesian generalized linear regression for 'tidyfit' |
| dot-fit.blasso | Bayesian Lasso regression for 'tidyfit' |
| dot-fit.bma | Bayesian model averaging for 'tidyfit' |
| dot-fit.boost | Gradient boosting regression for 'tidyfit' |
| dot-fit.bridge | Bayesian ridge regression for 'tidyfit' |
| dot-fit.chisq | Pearson's Chi-squared test for 'tidyfit' |
| dot-fit.cor | Pearson's correlation for 'tidyfit' |
| dot-fit.enet | ElasticNet regression or classification for 'tidyfit' |
| dot-fit.genetic | Genetic algorithm with linear regression fitness evaluator... |
| dot-fit.gets | General-to-specific regression for 'tidyfit' |
| dot-fit.glm | Generalized linear regression for 'tidyfit' |
| dot-fit.glmm | Generalized linear mixed-effects model for 'tidyfit' |
| dot-fit.group_lasso | Grouped Lasso regression and classification for 'tidyfit' |
| dot-fit.hfr | Hierarchical feature regression for 'tidyfit' |
| dot-fit.lasso | Lasso regression and classification for 'tidyfit' |
| dot-fit.lm | Linear regression for 'tidyfit' |
| dot-fit.mrmr | Minimum redundancy, maximum relevance feature selection for... |
| dot-fit.mslm | Markov-Switching Regression for 'tidyfit' |
| dot-fit.nnet | Neural Network regression for 'tidyfit' |
| dot-fit.pcr | Principal Components Regression for 'tidyfit' |
| dot-fit.plsr | Partial Least Squares Regression for 'tidyfit' |
| dot-fit.quantile | Quantile regression for 'tidyfit' |
| dot-fit.quantile_rf | Quantile regression forest for 'tidyfit' |
| dot-fit.relief | ReliefF and RReliefF feature selection algorithm for... |
| dot-fit.rf | Random Forest regression or classification for 'tidyfit' |
| dot-fit.ridge | Ridge regression and classification for 'tidyfit' |
| dot-fit.robust | Robust regression for 'tidyfit' |
| dot-fit.spikeslab | Bayesian Spike and Slab regression or classification for... |
| dot-fit.subset | Best subset regression and classification for 'tidyfit' |
| dot-fit.svm | Support vector regression or classification for 'tidyfit' |
| dot-fit.tvp | Bayesian Time-Varying Regression for 'tidyfit' |
| explain | An interface for variable importance measures for a fitted... |
| explain.tidyfit.models | An interface for variable importance measures for a fitted... |
| Factor_Industry_Returns | Industry-Factor Returns Data Set |
| fitted.tidyfit.models | Obtain fitted values from models in a 'tidyfit.models' frame |
| m | Generic model wrapper for 'tidyfit' |
| predict.tidyfit.models | Predict using a 'tidyfit.models' frame |
| regress | Linear regression on tidy data |
| residuals.tidyfit.models | Obtain residuals from models in a 'tidyfit.models' frame |
