Reference

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