The functions plot the moment transformed skewness and moment transformed kurtosis of five important 4-parameter distributions in GAMLSS.
moment_gray_half(legend = FALSE)moment_gray_both(line_width = 1)
moment_colour_half(legend = TRUE)
moment_colour_both(legend = TRUE, line_width = 1)
centile_colour_half(type = c("tail", "central"), legend = TRUE,
line_width = 1)
centile_colour_both(type = c("tail", "central"), legend = TRUE,
line_width = 1)
centile_gray_both(type = c("tail", "central"), legend = TRUE,
line_width = 0.5)
A plot is created.
whether legend is required
line width
whether to plot `tail' or `central' skewness and kurtosis.
Mikis Stasinopoulos, Bob Rigby and Fernanda de Bastiani
The functions are described in Rigby et al (2019)
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. tools:::Rd_expr_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, tools:::Rd_expr_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. tools:::Rd_expr_doi("10.1201/b21973")
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/).
momentSK
, centileSK
moment_gray_half()
moment_gray_both()
moment_colour_half()
moment_colour_both()
centile_colour_both()
centile_gray_both()
centile_colour_half()
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