gamlss.ggplots-package {gamlss.ggplots}R Documentation

Plotting Functions for Generalized Additive Model for Location Scale and Shape

Description

Functions for plotting Generalized Additive Models for Location Scale and Shape from the 'gamlss' package, Stasinopoulos and Rigby (2007) <doi:10.18637/jss.v023.i07>, using the graphical methods from 'ggplot2'.

Details

The DESCRIPTION file:

Package: gamlss.ggplots
Title: Plotting Functions for Generalized Additive Model for Location Scale and Shape
Version: 2.1-12
Date: 2024-04-21
Authors@R: c(person("Mikis", "Stasinopoulos", role = c("aut", "cre", "cph"), email = "d.stasinopoulos@gre.ac.uk", comment = c(ORCID = "0000-0003-2407-5704")), person("Robert", "Rigby", role = "aut", email = "r.rigby@gre.ac.uk", comment = c(ORCID = "0000-0003-3853-1707")), person("Fernanda", "De Bastiani", role = "aut", email = "fernandadebastiani@gmail.com", comment = c(ORCID = "0000-0001-8532-639X")), person("Julian", "Merder", role = "ctb") )
Description: Functions for plotting Generalized Additive Models for Location Scale and Shape from the 'gamlss' package, Stasinopoulos and Rigby (2007) <doi:10.18637/jss.v023.i07>, using the graphical methods from 'ggplot2'.
License: GPL-2 | GPL-3
URL: https://www.gamlss.com/
BugReports: https://github.com/gamlss-dev/gamlss.ggplots/issues
Depends: R (>= 3.5.0), gamlss.dist, gamlss (>= 4.3.3), gamlss.foreach
Imports: methods, ggridges, ellipse, gamlss.inf, foreach, mgcv, ggplot2, yaImpute
Suggests: glmnet, reshape2, igraph, networkD3, grid, gridExtra
LazyLoad: yes
Author: Mikis Stasinopoulos [aut, cre, cph] (<https://orcid.org/0000-0003-2407-5704>), Robert Rigby [aut] (<https://orcid.org/0000-0003-3853-1707>), Fernanda De Bastiani [aut] (<https://orcid.org/0000-0001-8532-639X>), Julian Merder [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@gre.ac.uk>

Index of help topics:

ACE                     Alternating Conditional Expectations
boot_coef               Plotting Bootstrap Coefficients
centile_bucket          Centile bucket plot
family_pdf              Plotting Probabilities Density Functions
                        (pdf's) for GAMLSS
fit_PB                  P-spline smoother
fitted_cdf              Plotting Cumulative Distribution Functions
                        (cdf's) for GAMLSS,
fitted_centiles         Plotting centile (growth) curves
fitted_devianceIncr     Plotting the deviance increment of GAMLSS
fitted_leverage         Plot of the linear leverage of a GAMLSS model
fitted_terms            Plotting fitted additive terms
gamlss.ggplots-package
                        Plotting Functions for Generalized Additive
                        Model for Location Scale and Shape
histSmo_plot            Supporting histSmo()
model_GAIC              Plotting GAIC for GAMLSS models
model_pca               Plotting residuals using PCA
moment_bucket           Moment bucket plot
moment_gray_half        Functions to create the background for the
                        bucket plots
pcr_coef_path           Plotting the fitted path of a PCR model.
pe_param                Partial Effect of a term on the parameters and
                        predictors
pe_pdf                  Partial Effect of a term on the response
                        distribution
prof_term               Plotting the profile deviance of one fitted
                        term
resid_density           Density of the residuals in a GAMLLSS model
resid_dtop              Detrended Transformed Owen's Plot and ECDF for
                        the residuals
resid_index             A residual plots
resid_qqplot            QQ-plot of the residuals of a GAMLSS model
resid_symmetry          Symmetry plots
resid_wp                Worm plot using ggplot2
resp_mu                 Plotting the response against quantities of the
                        fitted model
y_hist                  Histogram and density plot.

The following convention has been used to name the functions:

fitted_NAME: plots concerning fitted values from a single fitted model

resid_NAME: plots concerning residuals from a single fitted model

predict_NAME: plots concerning prediction values from a single fitted model usually having newdata option.

model_NAME: plots concerning different fitted models

where NAME refer to different characteristics.

Author(s)

Mikis Stasinopoulos [aut, cre, cph] (<https://orcid.org/0000-0003-2407-5704>), Robert Rigby [aut] (<https://orcid.org/0000-0003-3853-1707>), Fernanda De Bastiani [aut] (<https://orcid.org/0000-0001-8532-639X>), Julian Merder [ctb]

Maintainer: Mikis Stasinopoulos <d.stasinopoulos@gre.ac.uk>

References

Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), Appl. Statist., 54, part 3, pp 507-554.

Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019) Distributions for modeling location, scale, and shape: Using GAMLSS in R, Chapman and Hall/CRC, doi:10.1201/9780429298547. An older version can be found in https://www.gamlss.com/.

Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, doi:10.18637/jss.v023.i07.

Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC. doi:10.1201/b21973

Stasinopoulos, M. D., Rigby, R. A., and De Bastiani F., (2018) GAMLSS: a distributional regression approach, Statistical Modelling, Vol. 18, pp, 248-273, SAGE Publications Sage India: New Delhi, India.

Stasinopoulos, M.D., Kneib, T., Klein, N., Mayr, A. and Heller, G.Z., (2024). Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications (Vol. 56). Cambridge University Press.

(see also https://www.gamlss.com/).

See Also

gamlss, gamlss.family

Examples

library(gamlss)
m1 <- gamlss(y~pb(x), data=abdom)
resid_index(m1)

[Package gamlss.ggplots version 2.1-12 Index]