Package: tidyfit 0.7.4

tidyfit: Regularized Linear Modeling with Tidy Data

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.

Authors:Johann Pfitzinger [aut, cre]

tidyfit_0.7.4.tar.gz
tidyfit_0.7.4.zip(r-4.7)tidyfit_0.7.4.zip(r-4.6)tidyfit_0.7.4.zip(r-4.5)
tidyfit_0.7.4.tgz(r-4.6-any)tidyfit_0.7.4.tgz(r-4.5-any)
tidyfit_0.7.4.tar.gz(r-4.7-any)tidyfit_0.7.4.tar.gz(r-4.6-any)
tidyfit_0.7.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tidyfit/json (API)

# Install 'tidyfit' in R:
install.packages('tidyfit', repos = c('https://jpfitzinger.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jpfitzinger/tidyfit/issues

Pkgdown/docs site:https://tidyfit.residualmetrics.com

Datasets:

On CRAN:

Conda:

auto-mlclassificationmachine-learningregressiontidyverse

6.51 score 17 stars 48 scripts 410 downloads 6 exports 46 dependencies

Last updated from:3d9d0129b8. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING238
source / vignettesOK301
linux-release-x86_64WARNING244
macos-release-arm64WARNING161
macos-oldrel-arm64WARNING128
windows-develWARNING186
windows-releaseWARNING135
windows-oldrelWARNING159
wasm-releaseOK172

Exports:classifyexplainget_modelget_tidyFitmregress

Dependencies:backportsbroomclicodetoolscpp11crayondialsDiceDesigndigestdplyrfarverfurrrfuturegenericsglobalsgluehardhatlabelinglifecyclelistenvmagrittrMASSparallellypillarpkgconfigprogressrpurrrR6RColorBrewerrlangrsamplescalessfdslidersparsevctrsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewarpwithryardstick

Accessing Fitted Model Objects
Rendered fromAccessing_Fitted_Model_Objects.Rmdusingknitr::rmarkdown

Last update: 2025-04-29
Started: 2022-08-27

Bootstrapping Confidence Intervals
Fit the model | Plot the results | Comparing to built-in jackknife procedure
Rendered fromBootstrapping_Confidence_Intervals.Rmdusingknitr::knitr

Last update: 2025-04-29
Started: 2022-08-27

Feature Selection
Feature selection algorithms | Filter methods | Wrapper methods | Embedded methods | Extracting the top models
Rendered fromFeature_Selection.Rmdusingknitr::knitr

Last update: 2025-04-29
Started: 2022-11-23

Multinomial Classification
Penalized classification algorithms to predict Species
Rendered fromMultinomial_Classification.Rmdusingknitr::knitr

Last update: 2025-04-29
Started: 2022-08-20

Predicting Boston House Prices
A simple regression | Regularized regression estimators | A glimpse at the backend
Rendered fromPredicting_Boston_House_Prices.Rmdusingknitr::rmarkdown

Last update: 2025-04-29
Started: 2022-08-20

Rolling Window Time Series Regression
Rendered fromRolling_Window_Time_Series_Regression.Rmdusingknitr::knitr

Last update: 2025-04-29
Started: 2022-08-26

Time-varying parameters vs. rolling windows
Load the data | Model fitting | Plotting the results
Rendered fromTime-varying_parameters_vs_rolling_windows.Rmdusingknitr::knitr

Last update: 2025-04-29
Started: 2022-08-27

Flowchart
Rendered fromFlowchart.Rmdusingknitr::rmarkdown

Last update: 2022-10-22
Started: 2022-10-22

Readme and manuals

Help Manual

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