Package: snazzieR 0.1.2

snazzieR: Chic and Sleek Functions for Beautiful Statisticians

Because your linear models deserve better than console output. A sleek color palette and kable styling to make your regression results look sharper than they are. Includes support for Partial Least Squares (PLS) regression via both the SVD and NIPALS algorithms, along with a unified interface for model fitting and fabulous LaTeX and console output formatting. See the package website at <https://finitesample.space/snazzier>.

Authors:Aidan J. Wagner [aut, cre]

snazzieR_0.1.2.tar.gz
snazzieR_0.1.2.zip(r-4.7)snazzieR_0.1.2.zip(r-4.6)snazzieR_0.1.2.zip(r-4.5)
snazzieR_0.1.2.tgz(r-4.6-any)snazzieR_0.1.2.tgz(r-4.5-any)
snazzieR_0.1.2.tar.gz(r-4.7-any)snazzieR_0.1.2.tar.gz(r-4.6-any)
snazzieR_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
snazzieR/json (API)

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

Bug tracker:https://github.com/detectivefierce/snazzier/issues

Pkgdown/docs site:https://detectivefierce.github.io

Datasets:

On CRAN:

Conda:

3.78 score 7 scripts 218 downloads 48 exports 54 dependencies

Last updated from:e59c701565. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK147
source / vignettesOK171
linux-release-x86_64OK141
macos-release-arm64OK129
macos-oldrel-arm64OK162
windows-develOK99
windows-releaseOK100
windows-oldrelOK78
wasm-releaseOK116

Exports:ANOVA.summary.tableBluecolor.listcolor.refDark.BlueDark.GreenDark.GreyDark.OrangeDark.PurpleDark.RedDark.YellowDeep.BlueDeep.GreenDeep.GreyDeep.OrangeDeep.PurpleDeep.RedDeep.Yelloweigen.summaryGreenGreyLight.BlueLight.GreenLight.GreyLight.OrangeLight.PurpleLight.RedLight.Yellowmodel.equationmodel.summary.tableNIPALS.plsOrangePale.BluePale.GreenPale.GreyPale.OrangePale.PurplePale.RedPale.Yellowpls.regressionpls.summaryPurpleRedridge.regressionridge.summarysnazzieR.themeSVD.plsYellow

Dependencies:base64encbslibcachemclicpp11digestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolsisobandjquerylibjsonlitekableExtraknitrlabelinglifecyclemagrittrmemoisemimepillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrstudioapiS7sassscalesstringistringrsvglitesystemfontstextshapingtibbletidyselecttinytexutf8vctrsviridisLitewithrxfunxml2yaml

PLS Overview
Overview of Partial Least Squares (PLS) Regression | What is PLS? | Learn More | The Origins of PLS | References

Last update: 2025-12-16
Started: 2025-05-12

NIPALS Algorithm for PLS Regression

Last update: 2025-05-12
Started: 2025-05-12

SVD Algorithm

Last update: 2025-05-12
Started: 2025-05-12

Readme and manuals

Help Manual

Help pageTopics
Generate a Summary Table for ANOVA ResultsANOVA.summary.table
Display a Color Reference Palettecolor.ref
SnazzieR Color PaletteBlue color.list colors Dark.Blue Dark.Green Dark.Grey Dark.Orange Dark.Purple Dark.Red Dark.Yellow Deep.Blue Deep.Green Deep.Grey Deep.Orange Deep.Purple Deep.Red Deep.Yellow Green Grey Light.Blue Light.Green Light.Grey Light.Orange Light.Purple Light.Red Light.Yellow Orange Pale.Blue Pale.Green Pale.Grey Pale.Orange Pale.Purple Pale.Red Pale.Yellow Purple Red Yellow
Create K-Fold Cross Validation Splitscreate_kfold_splits
Summarize Eigenvalues and Eigenvectors of a Covariance Matrixeigen.summary
Format PLS Model Output as LaTeX or Console Tablesformat.pls
Perform K-Fold Cross Validationkfold_cross_validation
Generate a Model Equation from a Linear Modelmodel.equation
Generate a Summary Table for a Linear Modelmodel.summary.table
Partial Least Squares (PLS) Regression Interfacepls.regression
Format PLS Model Output as LaTeX Tablespls.summary
Predict Method for Ridge Model Objectspredict.ridge.model
Print Method for Ridge Model Objectsprint.ridge.model
Ridge Regression with Automatic Lambda Selectionridge.regression
Format Ridge Model Output as LaTeX Tablesridge.summary
A Custom ggplot2 Theme for Publication-Ready PlotssnazzieR.theme