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gamlss.ggplots: Plotting Functions for Generalized Additive Model for Location Scale and Shape

Functions for plotting Generalized Additive Models for Location Scale and Shape (GAMLSS) from the gamlss package, Stasinopoulos and Rigby (2007), using the graphical methods from ggplot2.

CRAN package: https://CRAN.R-project.org/package=gamlss.ggplots
GitHub repository: https://github.com/gamlss-dev/gamlss.ggplots/
Project website: https://www.gamlss.com/

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Version

Install

install.packages('gamlss.ggplots')

Monthly Downloads

47

Version

2.1-12

License

GPL-2 | GPL-3

Maintainer

Mikis Stasinopoulos

Last Published

March 25th, 2024

Functions in gamlss.ggplots (2.1-12)

Plotting GAIC for GAMLSS models

Plotting residuals using PCA

Moment bucket plot

gamlss.ggplots-package

tools:::Rd_package_title("gamlss.ggplots")

Plotting the response against quantities of the fitted model

Supporting histSmo()

moment_gray_half

Functions to create the background for the bucket plots

Partial Effect of a term on the response distribution

Partial Effect of a term on the parameters and predictors

Plotting fitted additive terms

Detrended Transformed Owen's Plot and ECDF for the residuals

A residual plots

Density of the residuals in a GAMLLSS model

Plotting the profile deviance of one fitted term

Worm plot using ggplot2

QQ-plot of the residuals of a GAMLSS model

Histogram and density plot.

Plotting the fitted path of a PCR model.

Alternating Conditional Expectations

Centile bucket plot

Plotting Bootstrap Coefficients

P-spline smoother

Plotting Probabilities Density Functions (pdf's) for GAMLSS

fitted_devianceIncr

Plotting the deviance increment of GAMLSS

fitted_leverage

Plot of the linear leverage of a GAMLSS model

Plotting Cumulative Distribution Functions (cdf's) for GAMLSS,

fitted_centiles

Plotting centile (growth) curves