Easily Visualize Data from 'ERDDAP™' Servers via the 'rerddap'
Package

Various Functions to Facilitate Visualization of Data and
Analysis

Tools for Visualizing Gaussian Mixture Models

Plot Toolkit for Latent Space Item Response Models

'ggplot2' Version of "I'm Feeling Lucky!"

Create Interactive Web Graphics via 'plotly.js'

Render 'Plotly' Maps without an Internet Connection

Plot Marginal Effects from Linear Models

Tidy Tools for Visualizing Mixture Models

Plot a Model's Residuals, Response, and Partial Dependence Plots

Graphical Univariate/Multivariate Assessments for Normality
Assumption

Odds Ratio Tools for Logistic Regression

Plot Principal Component Histograms Around a Scatter Plot

Useful Networking Tools for Project Management

Generate Useful ROC Curve Charts for Print and Interactive Use

Making Visual Exploratory Data Analysis with Nested Data Easier

Scale Graphics Devices Using Plot Dimensions

Explore Your Data with Interactive Figures

Graphing Nonlinear Relations Among Latent Variables from
Structural Equation Mixture Models
R package plotSEMM version 2.4

High-Level Plotting Built Upon 'ggplot2' and Other Plotting
Packages

Extended Tools for Continuous Legends, Polygon Manipulation, and
Visual Display of Categorical Data
R package PlotTools version 0.4.0

Spider Plots, ROC Curves, Pie Charts and More for Use in Other
Plots

Prediction Limits for Poisson Distribution

Power Logit Regression for Modeling Bounded Data

Statistical Inference in Partial Linear Regression Models

Partial Least Squares and Principal Component Regression

Partial Least Squares (PLS) Data Analysis Methods

Degrees of Freedom and Statistical Inference for Partial Least
Squares Regression
R package plsdof version 0.5-0

Linear and Smooth Predictor Modelling with Penalisation and
Variable Selection

Partial Least Squares Path Modeling (PLS-PM)

Partial Least Squares Regression for Beta Regression Models

Partial Least Squares Regression for Cox Models and Related
Techniques

Partial Least Squares Regression for Generalized Linear Models