# Regularized Linear Modeling with Tidy Data

## Documentation for package ‘tidyfit’ version 0.6.5

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

## Help Pages

.fit.adalasso | Adaptive Lasso regression or classification 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.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.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'
classify | Classification on tidy data
coef.tidyfit.models | Extract coefficients from a 'tidyfit.models' frame
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