Package: tidyfit 0.7.3

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:
tidyfit_0.7.3.tar.gz
tidyfit_0.7.3.zip(r-4.5)tidyfit_0.7.3.zip(r-4.4)tidyfit_0.7.3.zip(r-4.3)
tidyfit_0.7.3.tgz(r-4.5-any)tidyfit_0.7.3.tgz(r-4.4-any)tidyfit_0.7.3.tgz(r-4.3-any)
tidyfit_0.7.3.tar.gz(r-4.5-noble)tidyfit_0.7.3.tar.gz(r-4.4-noble)
tidyfit_0.7.3.tgz(r-4.4-emscripten)tidyfit_0.7.3.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')) |
Bug tracker:https://github.com/jpfitzinger/tidyfit/issues
Pkgdown site:https://tidyfit.residualmetrics.com
- Factor_Industry_Returns - Industry-Factor Returns Data Set
auto-mlclassificationmachine-learningregressiontidyverse
Last updated 1 months agofrom:87e24d838d. Checks:1 OK, 7 WARNING. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 21 2025 |
R-4.5-win | WARNING | Feb 21 2025 |
R-4.5-mac | WARNING | Feb 21 2025 |
R-4.5-linux | WARNING | Feb 21 2025 |
R-4.4-win | WARNING | Feb 21 2025 |
R-4.4-mac | WARNING | Feb 21 2025 |
R-4.3-win | WARNING | Feb 21 2025 |
R-4.3-mac | WARNING | Feb 21 2025 |
Exports:classifyexplainmregress
Dependencies:backportsbroomclicodetoolscolorspacecpp11crayondialsDiceDesigndigestdplyrfansifarverfurrrfuturegenericsglobalsgluehardhatlabelinglifecyclelistenvmagrittrMASSmunsellparallellypillarpkgconfigprogressrpurrrR6RColorBrewerrlangrsamplescalessfdslidersparsevctrsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewarpwithryardstick
Accessing Fitted Model Objects
Rendered fromAccessing_Fitted_Model_Objects.Rmd
usingknitr::rmarkdown
on Feb 21 2025.Last update: 2023-02-19
Started: 2022-08-27
Bootstrapping Confidence Intervals
Rendered fromBootstrapping_Confidence_Intervals.Rmd
usingknitr::knitr
on Feb 21 2025.Last update: 2023-02-19
Started: 2022-08-27
Feature Selection
Rendered fromFeature_Selection.Rmd
usingknitr::knitr
on Feb 21 2025.Last update: 2025-01-08
Started: 2022-11-23
Flowchart
Rendered fromFlowchart.Rmd
usingknitr::rmarkdown
on Feb 21 2025.Last update: 2022-10-22
Started: 2022-10-22
Multinomial Classification
Rendered fromMultinomial_Classification.Rmd
usingknitr::knitr
on Feb 21 2025.Last update: 2023-02-19
Started: 2022-08-20
Predicting Boston House Prices
Rendered fromPredicting_Boston_House_Prices.Rmd
usingknitr::rmarkdown
on Feb 21 2025.Last update: 2023-05-20
Started: 2022-08-20
Rolling Window Time Series Regression
Rendered fromRolling_Window_Time_Series_Regression.Rmd
usingknitr::knitr
on Feb 21 2025.Last update: 2023-02-19
Started: 2022-08-26
Time-varying parameters vs. rolling windows
Rendered fromTime-varying_parameters_vs_rolling_windows.Rmd
usingknitr::knitr
on Feb 21 2025.Last update: 2023-02-19
Started: 2022-08-27