Package index • snazzieR

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PLS Functions

Functions for Partial Least Squares regression

pls.regression(): Partial Least Squares (PLS) Regression Interface
NIPALS.pls(): Partial Least Squares Regression via NIPALS (Internal)
SVD.pls(): Partial Least Squares Regression via SVD (Internal)
pls.summary(): Format PLS Model Output as LaTeX Tables

Formatting Functions

Functions for formatting and displaying results

model.summary.table(): Generate a Summary Table for a Linear Model
ANOVA.summary.table(): Generate a Summary Table for ANOVA Results
eigen.summary(): Summarize Eigenvalues and Eigenvectors of a Covariance Matrix
model.equation(): Generate a Model Equation from a Linear Model
format(<pls>): Format PLS Model Output as LaTeX or Console Tables

Ridge Regression

Functions for ridge models

create_kfold_splits(): Create K-Fold Cross Validation Splits
kfold_cross_validation(): Perform K-Fold Cross Validation
predict(<ridge.model>): Predict Method for Ridge Model Objects
print(<ridge.model>): Print Method for Ridge Model Objects
ridge.regression(): Ridge Regression with Automatic Lambda Selection
ridge.summary(): Format Ridge Model Output as LaTeX Tables

Theme Functions

Functions for customizing the appearance

snazzieR.theme(): A Custom ggplot2 Theme for Publication-Ready Plots
color.list: SnazzieR Color Palette
color.ref(): Display a Color Reference Palette