Package: modelr 0.1.11.9000

Hadley Wickham

modelr: Modelling Functions that Work with the Pipe

Functions for modelling that help you seamlessly integrate modelling into a pipeline of data manipulation and visualisation.

Authors:Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]

modelr_0.1.11.9000.tar.gz
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modelr.pdf |modelr.html✨
modelr/json (API)
NEWS

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

Bug tracker:https://github.com/tidyverse/modelr/issues

Pkgdown/docs site:https://modelr.tidyverse.org

Datasets:
  • heights - Height and income data.
  • sim1 - Simple simulated datasets
  • sim2 - Simple simulated datasets
  • sim3 - Simple simulated datasets
  • sim4 - Simple simulated datasets

On CRAN:

Conda:

modelling

16.51 score 399 stars 1.2k packages 7.7k scripts 591k downloads 6 mentions 34 exports 22 dependencies

Last updated from:28e13cab90. Checks:8 OK, 1 NOTE. Indexed: yes.

TargetResultTimeFilesLog
linux-devel-x86_64OK144
source / vignettesOK190
linux-release-x86_64OK155
macos-devel-arm64OK130
macos-release-arm64OK90
windows-develOK100
windows-releaseOK80
windows-oldrelNOTE87
wasm-releaseOK119

Exports:%>%add_predictionsadd_predictorsadd_residualsbootstrapcrossv_kfoldcrossv_loocrossv_mcdata_gridfit_withformulaeformulasgather_predictionsgather_residualsgeom_ref_linemaemapemodel_matrixmsena.warnpermutepermute_qaeresampleresample_bootstrapresample_partitionresample_permutationrmsersaersquareseq_rangespread_predictionsspread_residualstypical

Dependencies:backportsbroomclicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr