Package: prettyglm 1.0.1

prettyglm: Pretty Summaries of Generalized Linear Model Coefficients

One of the main advantages of using Generalised Linear Models is their interpretability. The goal of 'prettyglm' is to provide a set of functions which easily create beautiful coefficient summaries which can readily be shared and explained. 'prettyglm' helps users create coefficient summaries which include categorical base levels, variable importance and type III p.values. 'prettyglm' also creates beautiful relativity plots for categorical, continuous and splined coefficients.

Authors:Jared Fowler [cre, aut]

prettyglm_1.0.1.tar.gz
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prettyglm.pdf |prettyglm.html
prettyglm/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/jared-fowler/prettyglm/issues

Datasets:

On CRAN:

classificationclassification-modeldata-sciencedata-visualizationglmlinear-modelsregressionregression-analysisregression-modelregression-modelsstatistical-models

4.73 score 3 stars 36 scripts 208 downloads 8 exports 106 dependencies

Last updated 10 months agofrom:ffe3d35876. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:actual_expected_bucketedclean_coefficientscut3one_way_avepredict_outcomepretty_coefficientspretty_relativitiessplineit

Dependencies:abindaskpassbackportsbase64encbootbroombslibcachemcarcarDataclicodetoolscolorspacecowplotcpp11crosstalkcurldata.tableDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeforcatsforeachFormulafsgenericsggplot2gluegtablehardhathighrhtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonlitekableExtraknitrlabelinglaterlatticelazyevallifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplotlypromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrstudioapisassscalesSparseMstringistringrsurvivalsvglitesyssystemfontstibbletidycattidyrtidyselecttinytexutf8vctrsvipviridisLitewithrxfunxml2yamlyardstick

prettyglm: Beautiful Visualisations for Generalized Linear Models

Rendered fromprettyglm-vignette.Rmdusingknitr::rmarkdownon Nov 01 2024.

Last update: 2022-12-13
Started: 2020-10-29

Readme and manuals

Help Manual

Help pageTopics
actual_expected_bucketedactual_expected_bucketed
Bank marketing campaigns data set analysisbank_data
clean_coefficientsclean_coefficients
cut3cut3
one_way_aveone_way_ave
predict_outcomepredict_outcome
pretty_coefficientspretty_coefficients
pretty_relativitiespretty_relativities
splineitsplineit
Titanic Datatitanic