tidyfit0.7.4 package

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 for `tidyfi...

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 tidyfit

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_rf

Quantile regression forest for tidyfit

dot-fit.quantile

Quantile regression for tidyfit

dot-fit.relief

ReliefF and RReliefF feature selection algorithm for tidyfit

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 tidyfit

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 tidyfit.mod...

explain.tidyfit.models

An interface for variable importance measures for a fitted tidyfit.mod...

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

An extension to the 'R' tidy data environment for automated machine learning. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.

  • Maintainer: Johann Pfitzinger
  • License: GPL-3
  • Last published: 2025-04-29