Regularized Linear Modeling with Tidy Data

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Documentation for package ‘tidyfit’ version 0.7.1

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

Help Pages

.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.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'
classify	Classification on tidy data
coef.tidyfit.models	Extract coefficients from a 'tidyfit.models' frame
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
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