Package: tidyfit 0.7.2

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_0.7.2.tar.gz
tidyfit_0.7.2.zip(r-4.5)tidyfit_0.7.2.zip(r-4.4)tidyfit_0.7.2.zip(r-4.3)
tidyfit_0.7.2.tgz(r-4.4-any)tidyfit_0.7.2.tgz(r-4.3-any)
tidyfit_0.7.2.tar.gz(r-4.5-noble)tidyfit_0.7.2.tar.gz(r-4.4-noble)
tidyfit_0.7.2.tgz(r-4.4-emscripten)tidyfit_0.7.2.tgz(r-4.3-emscripten)
tidyfit.pdf |tidyfit.html✨
tidyfit/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

auto-mlclassificationmachine-learningregressiontidyverse

7.19 score 13 stars 27 scripts 478 downloads 4 exports 48 dependencies

Last updated 2 months agofrom:f4fdf7caeb. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winWARNINGNov 03 2024
R-4.5-linuxWARNINGNov 03 2024
R-4.4-winWARNINGNov 03 2024
R-4.4-macWARNINGNov 03 2024
R-4.3-winWARNINGNov 03 2024
R-4.3-macWARNINGNov 03 2024

Exports:classifyexplainmregress

Dependencies:backportsbroomclicodetoolscolorspacecpp11crayondialsDiceDesigndigestdplyrfansifarverfurrrfuturegenericsglobalsgluehardhatlabelinglifecyclelistenvmagrittrMASSmunsellparallellypillarpkgconfigprogressrpurrrR6RColorBrewerrlangrsamplescalessfdsliderstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewarpwithryardstick

Accessing Fitted Model Objects

Rendered fromAccessing_Fitted_Model_Objects.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2023-02-19
Started: 2022-08-27

Bootstrapping Confidence Intervals

Rendered fromBootstrapping_Confidence_Intervals.Rmdusingknitr::knitron Nov 03 2024.

Last update: 2023-02-19
Started: 2022-08-27

Feature Selection

Rendered fromFeature_Selection.Rmdusingknitr::knitron Nov 03 2024.

Last update: 2024-02-25
Started: 2022-11-23

Flowchart

Rendered fromFlowchart.Rmdusingknitr::rmarkdownon Nov 03 2024.

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

Multinomial Classification

Rendered fromMultinomial_Classification.Rmdusingknitr::knitron Nov 03 2024.

Last update: 2023-02-19
Started: 2022-08-20

Predicting Boston House Prices

Rendered fromPredicting_Boston_House_Prices.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2023-05-20
Started: 2022-08-20

Rolling Window Time Series Regression

Rendered fromRolling_Window_Time_Series_Regression.Rmdusingknitr::knitron Nov 03 2024.

Last update: 2023-02-19
Started: 2022-08-26

Time-varying parameters vs. rolling windows

Rendered fromTime-varying_parameters_vs_rolling_windows.Rmdusingknitr::knitron Nov 03 2024.

Last update: 2023-02-19
Started: 2022-08-27

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
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