Package: mosaicModel 0.3.0

mosaicModel: An Interface to Statistical Modeling Independent of Model Architecture

Provides functions for evaluating, displaying, and interpreting statistical models. The goal is to abstract the operations on models from the particular architecture of the model. For instance, calculating effect sizes rather than looking at coefficients. The package includes interfaces to both regression and classification architectures, including lm(), glm(), rlm() in 'MASS', random forests and recursive partitioning, k-nearest neighbors, linear and quadratic discriminant analysis, and models produced by the 'caret' package's train(). It's straightforward to add in other other model architectures.

Authors:Kaplan Daniel [aut, cre], Pruim Randall [aut, cre]

mosaicModel_0.3.0.tar.gz
mosaicModel_0.3.0.zip(r-4.5)mosaicModel_0.3.0.zip(r-4.4)mosaicModel_0.3.0.zip(r-4.3)
mosaicModel_0.3.0.tgz(r-4.4-any)mosaicModel_0.3.0.tgz(r-4.3-any)
mosaicModel_0.3.0.tar.gz(r-4.5-noble)mosaicModel_0.3.0.tar.gz(r-4.4-noble)
mosaicModel_0.3.0.tgz(r-4.4-emscripten)mosaicModel_0.3.0.tgz(r-4.3-emscripten)
mosaicModel.pdf |mosaicModel.html
mosaicModel/json (API)

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

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.86 score 73 scripts 587 downloads 21 exports 154 dependencies

Last updated 7 years agofrom:daff68592d. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winNOTEOct 27 2024
R-4.5-linuxNOTEOct 27 2024
R-4.4-winNOTEOct 27 2024
R-4.4-macNOTEOct 27 2024
R-4.3-winNOTEOct 27 2024
R-4.3-macNOTEOct 27 2024

Exports:ci.meanci.medianci.proportionci.sdcollinearityconstruct_fitting_callcoveragedata_from_moddf_countsdf_propsdf_typicalformula_from_modmod_cvmod_effectmod_ensemblemod_errormod_evalmod_eval_funmod_funmod_plotproportion

Dependencies:askpassbackportsbase64encbitbit64blobbriobroombslibcachemcallrcaretcellrangerclassclicliprclockcodetoolscolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdescdiagramdiffobjdigestdplyrdtplyre1071evaluatefansifarverfastmapfontawesomeforcatsforeachfsfuturefuture.applygarglegenericsggformulaggplot2ggridgesglobalsgluegoogledrivegooglesheets4gowergtablehardhathavenhighrhmshtmltoolshttridsipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglabelledlatticelavalazyevallifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmodelrmosaicCoremunsellnlmennetnumDerivopensslparallellypillarpkgbuildpkgconfigpkgloadplyrpraiseprettyunitspROCprocessxprodlimprogressprogressrproxypspurrrR6raggrappdirsRColorBrewerRcppreadrreadxlrecipesrematchrematch2reprexreshape2rlangrmarkdownrpartrprojrootrstudioapirvestsassscalesselectrshapeSQUAREMstringistringrsurvivalsyssystemfontstestthattextshapingtibbletidyrtidyselecttidyversetimechangetimeDatetinytextzdbutf8uuidvctrsviridisLitevroomwaldowithrxfunxml2yaml

Using mosaicModel

Rendered fromBasics.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2017-09-22
Started: 2017-09-22

Readme and manuals

Help Manual

Help pageTopics
Prices for life insuranceAARP
Nitrogen fixing by alder plantsAlder
Birth weights and maternal dataBirth_weight
Function builder for confidence intervals on proportionsci.proportion
Grades at a small collegeCollege_grades
Calculate measures of collinearitycollinearity
Construct a call for refitting a model from the model itselfconstruct_fitting_call
Interval statistics for use with df_stats()ci.mean ci.median ci.sd coverage
Data from the US FBI Uniform Crime Report, 1960Crime
Extract training data from modeldata_from_mod
Formula interface to countsdf_counts
Joint and conditional proportionsdf_props
Find typical levels of explanatory variables in a model/dataset.df_typical
Get the names of the explanatory or response variables in a modelexplanatory_vars
Extract the model formula used in specifying the modelformula_from_mod
Heating degree days in Minneapolis, Minnesota, USAHDD_Minneapolis
Houses for saleHouses_for_sale
Compare models with k-fold cross validationmod_cv
Calculate effect sizes in a modelmod_effect
Create bootstrapped ensembles of a modelmod_ensemble
Mean square prediction errormod_error
Evaluate a model for specified inputsmod_eval
Internal functions for evaluating modelsmod_eval_fun
Transforms a model into a function of inputs -> outputmod_fun
Plot out model valuesmod_plot
'mosaicModel' packagemosaicModel-package mosaicModel
Metabolism of zebra musselsMussels
Gene expression in cancer cells.NCI60_snippet
Historical production of crude oil, worldwide 1880-2014Oil_history
Function builder for proportions.proportion
Compute sensible values from a data set for use as a baselinereference_values
Performance of runners in a ten-mile race as they ageRunners
Simulated data bearing on school vouchersSchool_data
Swimming speed of tadpoles.Tadpoles
Earnings of workers at a trucking company.Trucking_jobs
Prices of used Ford automobiles in 2009Used_Fords