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